diff --git "a/lablab - json.txt" "b/lablab - json.txt" new file mode 100644--- /dev/null +++ "b/lablab - json.txt" @@ -0,0 +1,32289 @@ +[ + { + "content": "Title: Generating Knowledge Graphs with IBM Granite\nDescription: Utilized IBM granite instruct and code models to extract themes and relationships from documents.\n\nIntuitive visual representation of document data\nEasily identify key themes and connections for research and analysis\nDownstream tasks:\nRecommendation Systems\nData Integration\nSemantic Search\nIndustries:\nEducation\nFinance\nPolicy\nMore\u2026\n\nSuccessfully extracted themes and relationships using Granite model and generated Cypher queries for knowledge graph generation in Neo4j\n\n\nChallenges:\nGiven the non-deterministic nature of LLMs Granite code instruct does not always generate a valid query.\nFuture Work:\nRefining prompts for better/ more predictable and structured outputs from model\n\nUrl: 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It allows users to add, track, and manage inventory efficiently, supporting barcode scanning for easy product identification. The system includes AI-powered demand forecasting, providing insights into stock trends and future demand. Users can set low-stock alerts, generate restock reports as PDFs, and automate supplier orders when stock reaches a critical level. \n\nZeroWaste AI features user authentication, ensuring secure access to inventory data. It also includes sales tracking functionality, enabling users to record and analyze sales performance. The platform provides interactive data visualizations, including sales trends and inventory analytics, allowing businesses to make data-driven decisions. Designed for efficiency and automation, ZeroWaste AI helps businesses reduce losses, improve supply chain management, and streamline inventory control with a user-friendly and intuitive interface.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/cfa-digital-lab/zerowaste-ai\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7hvdizn0000356zcyrn57b3/cm7exklpg000p426skoe1geh8_imageLink_6m1fxp0ggn.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.018337395042181015, + 0.052142318338155746, + -0.0325695239007473, + 0.008087812922894955, + -0.034506697207689285, + 0.010106448084115982, + 0.018913403153419495, + 0.018714169040322304, + -0.0020892894826829433, + 0.002264315029606223, + 0.010032761842012405, + -0.018425187095999718, + 0.008477702736854553, + 0.0035257809795439243, + -0.0742880254983902, + 0.05011126399040222, + 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Leveraging IBM Granite's enterprise-grade AI capabilities, Solvable automates refund categorization, evidence evaluation, arbitration workflows, and insurance claim management.\n\nThe platform provides an intuitive buyer interface for submitting refund requests and uploading evidence, while the agent dashboard offers AI-generated dispute summaries and actionable recommendations. Solvable integrates seamlessly with logistics APIs for delivery verification and automates insurance claim eligibility checks based on predefined rules.\n\nDesigned for scalability, Solvable can adapt to multiple industries such as logistics, retail, and insurance by offering modular APIs and customizable workflows. 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auditor is designed specifically for enterprise legal workflows, leveraging IBM Granite in a way that truly adds value\u2014not just using AI for the sake of it.\n\nUnlike general-purpose LLMs like GPT-4o or Claude, Granite is optimized for structured legal and compliance documents, making it more precise in contract analysis and regulatory assessments. This system doesn\u2019t just generate answers\u2014it retrieves and cross-references real compliance policies using Retrieval-Augmented Generation (RAG), ensuring that every response is grounded in actual legal sources, reducing hallucinations and increasing reliability.\n\nFor enterprises, this means:\n\u2714 Automated risk detection tailored to corporate policies.\n\u2714 Custom fine-tuning\u2014Granite improves based on feedback, ensuring company-specific compliance.\n\u2714 Secure & enterprise-ready\u2014Granite is built with governance and scalability in mind, ensuring AI remains compliant with data privacy and legal standards.\n\nThis isn\u2019t just another AI chatbot\u2014it\u2019s a domain-specific legal assistant that continuously improves, adapts, and delivers real business value where AI makes the most sense.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/granite-suite/ai-powered-compliance-and-contract-auditor\nImage: 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It seamlessly integrates LLM's models with a structured workflow, ensuring efficient, data-driven decision-making for customer experience (CX) teams, product managers, and operational leaders.\n\nHow It Works\nQA Evaluation Process:\n\nUsers input a QA guide outlining their evaluation criteria.\nThe app segments and analyzes conversations, extracting insights using AI embeddings and similarity scoring.\nAI models generate qualitative feedback and assign an overall score, making QA processes more efficient and objective.\nRoadmap Optimization Workflow:\n\nUsers define an objective and assign relevant roles to AI agents.\nAI agents independently process the information, generate insights, and contribute to a collaborative solution.\nThe final roadmap is synthesized and presented as a structured, actionable plan.\nWhy This App is a Game-Changer\n\u2705 Reduces Manual Effort: Automates traditionally labor-intensive QA scoring and roadmap planning.\n\u2705 Enhances Accuracy: AI-driven scoring eliminates bias and ensures objective, consistent evaluations.\n\u2705 Saves Time & Costs: Streamlines quality assurance and strategy execution for faster decision-making.\n\u2705 Scales with Your Business: Works efficiently for small teams and large enterprises alike.\n\u2705 Improves Customer Experience: Ensures support teams receive actionable feedback to enhance service quality.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/solutioner-ai/helpers-desk\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7hv55tw00963b7583wc3167/cm7docc74016y3b7gox4qu8yz_imageLink_eb1drz0g80.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.07215932011604309, + 0.018909821286797523, + 0.018030181527137756, + -0.010247723199427128, + -0.01043523196130991, + 0.023588724434375763, + 0.009007166139781475, + 0.053574614226818085, + 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It addresses common challenges like time consumption and ineffective proposals by leveraging advanced AI technologies.\n\nKey Features\nAnalyze: Offers analytical capabilities to explore historical proposal data, identifying successful patterns and elements that lead to higher win rates.\n\nPredict: Utilizes predictive analytics to forecast proposal success based on previous interactions, helping sales professionals prioritize and tailor their approaches.\n\nGenerate Proposal: Automates the creation of customized proposals by inputting client-specific details, ensuring relevance and engagement through IBM Granite models.\n\nView Top Proposals: Provides access to a library of successful proposals for inspiration and benchmarking, enabling teams to refine their strategies.\n\nBenefits\nIncreased Efficiency: Reduces time spent on proposal crafting.\n\nHigher Win Rates: Helps create compelling proposals that resonate with clients.\n\nContinuous Improvement: Fosters a culture of learning through access to successful examples.\n\nData-Driven Insights: Equips sales professionals with actionable insights for better decision-making.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/hugsforbugs/winwise-ai\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7hv34do000p356t00h8xemr/cm73aa67d0020356xagwz0zoj_imageLink_97ds3t03hw.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.05446554347872734, + 0.0032665343023836613, + -0.04384336993098259, + -0.017101891338825226, + 0.0574791245162487, + 0.021711787208914757, + -0.04696409031748772, + -0.001768173067830503, + 0.007241902872920036, + -0.048727259039878845, + -0.12567099928855896, + -0.003382813883945346, + 0.05494540557265282, + 0.04159149155020714, + 0.013384965248405933, + 0.016489291563630104, + 0.017890872433781624, + -0.037101343274116516, + -0.01784045435488224, + 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data-driven insights that enhance healthcare delivery. By leveraging its capabilities in natural language processing, large-scale data analysis, and system integration, Granite addresses critical challenges in modern healthcare.\nKey takeaways:\nCDS is essential for improving care quality, reducing errors, and optimizing outcomes.\nThe Granite model\u2019s features\u2014such as real-time insights and seamless integration\u2014make it ideal for healthcare applications.\nBenefits include improved patient outcomes, reduced costs, and increased efficiency.\nAs healthcare continues to evolve, the IBM Granite LLM has the potential to revolutionize clinical decision-making, making care more personalized, efficient, and effective. Its impact on healthcare delivery is poised to be profound, paving the way for a future where technology and medicine work hand in hand to improve lives.\n\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/amoca/amoca\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7hv352z000q3573ur4jwxa5/cm7hv2aee000p3573cblaf9vq_imageLink_ak2ob0n0y.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + 0.030705086886882782, + 0.0062320963479578495, + 0.026069005951285362, + -0.015915025025606155, + -0.03110980987548828, + -0.0006220558425411582, + -0.02344142086803913, + 0.0903782993555069, + 0.02885805070400238, + 0.0016360220033675432, + -0.05032109096646309, + 0.010580356232821941, + 0.027619589120149612, + 0.015457745641469955, + -0.06452851742506027, + 0.013552759774029255, + 0.06066233664751053, + -0.05140987038612366, + -0.03902662172913551, + 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analyze and interpret data. The platform addresses the challenges of data overload and siloed information by offering a unified solution that combines multiple analytics modules, including HR Analytics, E-commerce Analytics, and Business Intelligence.\nWith a user-friendly interface built on Streamlit, BizNexus-AI allows users to easily navigate through various features, such as employee management, salary tracking, market analysis, and competitor insights. The integration of AI enhances the platform's capabilities, providing predictive analytics and automated insights that help businesses make informed decisions quickly. The platform is designed with dark mode aesthetics for improved user experience and accessibility. It utilizes a robust backend powered by Supabase for data management and user authentication, ensuring secure and efficient data handling.\nBizNexus-AI aims to empower organizations to harness the full potential of their data, streamline operations, and drive growth through intelligent analytics. As the demand for data-driven decision-making continues to rise, BizNexus-AI positions itself as a vital tool for businesses looking to thrive in a competitive landscape.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/default/biznexus-ai\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7hv1uoq000p357l5u6e13nr/cm7bk20wn000p357l3pq1f28p_imageLink_l61b8i0gs9.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.06229579076170921, + 0.016195403411984444, + -0.042012397199869156, + 0.04022746533155441, + 0.0014797329204156995, + -0.03606061637401581, + 0.045053306967020035, + 0.02341906726360321, + -0.03223858028650284, + -0.016785064712166786, + -0.12273499369621277, + 0.011475029401481152, + 0.08527450263500214, + -0.037966251373291016, + -0.026041552424430847, + 0.08438397943973541, + 0.02731967903673649, + -0.02248481661081314, + 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leveraging IBM Granite models to revolutionize recruitment. It automates and optimizes every stage of the hiring process, making talent acquisition faster, smarter, and more efficient for businesses.\nKey Features & Capabilities:\n\n\u2705 Automated Resume Screening \u2013 Uses AI to filter, rank, and shortlist candidates based on job requirements, reducing manual effort.\n\u2705 AI-Powered Interviews \u2013 Conducts intelligent chat and voice interviews with AI-generated, adaptive questions tailored to candidate profiles.\n\u2705 Smart Scheduling \u2013 Seamlessly integrates with Google Calendar API to automate interview scheduling, eliminating coordination hassles.\n\u2705 Automated Email Outreach \u2013 AI drafts and personalizes interview invites, rejections, and follow-up emails, enhancing recruiter efficiency.\n\u2705 AI-Driven Job Posting \u2013 Automatically creates and optimizes job listings across platforms like LinkedIn and Naukri using API integrations.\n\u2705 Candidate Query Handling (RAG) \u2013 Uses Retrieval-Augmented Generation (RAG) to answer candidate queries instantly, improving engagement.\n\u2705 LeetCode-Based Skill Assessments \u2013 Conducts AI-powered coding and skill tests to ensure the best technical talent is identified.\n\nBusiness Impact:\n\ud83d\udd39 40% cost reduction in HR processes.\n\ud83d\udd39 50% faster hiring cycles with AI-driven automation.\n\ud83d\udd39 85% increase in application completion rates, improving candidate experience.\n\ud83d\udd39 80% reduction in manual email drafting, enhancing recruiter productivity.\n\nFuture Roadmap:\n\ud83d\ude80 AI-Driven Candidate Matching & Predictive Hiring \u2013 Intelligent recommendations based on skill, experience, and company needs.\n\ud83d\ude80 Blockchain-Based Resume & Credential Verification \u2013 Secure and tamper-proof candidate background checks.\n\ud83d\ude80 Adaptive AI Skill Testing \u2013 Dynamic assessments that evolve based on candidate performance.\n\ud83d\ude80 AI-Powered Job Ad Optimization \u2013 Smart job postings that maximize visibility and attract top talent.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/neurolingua/smarthireai-an-ai-powered-hr-management-suite\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7hv1dg7000o3b6a9k3spp1d/cm7emh3s0000o3b6apk29j37p_imageLink_55dsdq0338.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.17310830950737, + 0.010179165750741959, + 0.020611783489584923, + 0.08307751268148422, + 0.04645810276269913, + -0.01692877896130085, + -0.0007160382228903472, + -0.02599913254380226, + -0.06547830253839493, + -0.0023480600211769342, + -0.05231664329767227, + -0.04237407445907593, + 0.04914960265159607, + -0.02304508164525032, + 0.024072837084531784, + 0.05974237248301506, + 0.049587830901145935, + -0.04056260734796524, + -0.028126949444413185, + -0.025350678712129593, + 0.004409498069435358, + 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while keeping users in control. Using IBM Granite\u2019s advanced reasoning, we generated context-aware replies and provided real-time voice feedback for draft approval. \n\nFor information retrieval, we implemented RAG through ChromaDB, allowing our system to pull relevant past conversations and user-specific context for more accurate responses. Echelon automatically filtered spam, handled multiple emails at once, and sent smart alerts for high-priority messages. Hands-free interaction made email management effortless, while live reasoning updates ensured precision. \n\nWith seamless IMAP/SMTP integration, we designed Echelon to cut email management time and improve productivity without sacrificing personalization.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/echelon/echelon-fully-autonomous-ai-agentic-email-system\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7hv121e000p356xlcpw6gek/cm7dzdaj3000v356xztao0wrh_imageLink_p9drbv03u2.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.10628946125507355, + 0.026198191568255424, + 0.041881777346134186, + 0.04470699653029442, + 0.07615045458078384, + -0.06944285333156586, + 0.04100551828742027, + -0.0024130542296916246, + 0.018301602452993393, + 0.008232156746089458, + -0.05133983492851257, + -0.08903388679027557, + 0.07285066694021225, + 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Scroll\nDescription: 1. Executive SummaryIn a world where project decisions shape the course of societies, Policy Scroll acts as an enchanted manuscript\u2014an AI-driven tool that breathes life into governance by unlocking the wisdom of past projects. Infused with the magic of machine learning and predictive analytics, Policy Scroll deciphers complex project landscapes, conjuring actionable insights, revealing hidden synergies, and ensuring decision-makers wield the most potent knowledge available. This document unveils the transformative potential of Policy Scroll in reshaping projectmaking with intelligence and foresight.\n\n2. Business NeedPolicies are spells cast for the future, yet too often, they lack the wisdom of history. Governments and organizations struggle to harness past knowledge, leading to redundant efforts, inefficiencies, and lost opportunities. Policy Scroll is the enchanted key that unseals historical successes and failures, allowing projectmakers to craft resilient strategies infused with past lessons and AI-driven foresight.\n\n3. Solution OverviewPolicy Scroll is an AI-empowered oracle that analyzes vast archives of projects and projects, revealing the patterns that bind governance to outcomes. With machine intelligence as its guiding hand, it:\n\nSummons Relevant Insights: AI scans historical projects, conjuring case studies that illuminate the path ahead.\n\nReveals Hidden Synergies: Machine learning connects the dots between projects, unlocking patterns invisible to the human eye.\n\nPredicts Outcomes with Precision: AI-driven forecasting empowers projectmakers to anticipate and shape the future.\n\nFosters Collaboration Across Realms: Bridges project experts, decision-makers, and data wizards to refine governance strategies.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/power-of-moo/policy-scroll\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7huwvzq000q356ybzfvf97y/cm7huvl5r000p356ydlynjofc_imageLink_4r4lbc0ih4.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.07561817020177841, + 0.009903165511786938, + 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Using IBM\u2019s advanced Granite models, it provides real-time voice translation for meetings, as well as context-aware translation for emails, contracts, and customer interactions. The assistant is capable of adapting to industry-specific jargon, ensuring precise and effective communication across diverse sectors. Additionally, it includes sentiment analysis to ensure the right tone is conveyed in cross-cultural communications. This solution empowers businesses to collaborate globally, improve customer service, and navigate international negotiations without language constraints.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/vibot/speakflow\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7hur9lk00002v723vpmklk1/cm7htkkg4000h2v737jk2bxdu_imageLink_xwdesk03es.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.07975132763385773, + -0.024449212476611137, + 0.004228380974382162, + -0.05139964073896408, + -0.05437837913632393, + -0.011119837872684002, + 0.04753508418798447, + -0.04311186820268631, + 0.10167912393808365, + -0.10236018896102905, + -0.08623041957616806, + -0.06418896466493607, + -0.060269810259342194, + 0.03284876048564911, + 0.06444315612316132, + -0.009978016838431358, + 0.059038642793893814, + 0.027198899537324905, + -0.05674887076020241, + 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revolutionizes how teams capture, process, and share meeting information. The application combines cutting-edge AI technologies with intuitive user experience to solve common challenges in meeting documentation and knowledge sharing.\nKey Features:\n\nVersatile Input Processing: Support for audio recordings (WAV/MP3), text transcripts, and synthetic meeting generation\nAI-Powered Summarization: Automatic extraction of key points, decisions, and action items using IBM Watson AI\nSmart Team Collaboration: Slack integration for automated sharing and interactive command support\nComprehensive Dashboard: Centralized access to all meeting transcripts and summaries\n\nTechnical Stack:\n\nFrontend: Streamlit for responsive user interface\nBackend: FastAPI for efficient API endpoints\nAI Integration: AssemblyAI for transcription, IBM Watson for summarization\nDatabase: Supabase for secure data storage\nIntegration: Custom Slack bot implementation\n\nUser Benefits:\n\nTime Savings: Reduce manual documentation effort through automation\nImproved Accuracy: Consistent and comprehensive meeting documentation\nEnhanced Accessibility: Easy search and retrieval of meeting content\nBetter Team Alignment: Automatic sharing keeps stakeholders informed\nFlexible Usage: Multiple input options for different workflows\n\nMeetGist addresses the challenge of effective meeting documentation and knowledge sharing, making it essential for modern teams focused on productivity. Its combination of AI capabilities, user-friendly design, and integration features creates a complete solution for meeting intelligence management.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/radiant-minds/meetgist-ai-powered-meeting-intelligence-platform\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7huq4vq000p3b73pwghsclk/cm7610ub3004i3b736g148x1a_imageLink_rs16jq0g3z.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.09117170423269272, + -0.03306756913661957, + -0.03432563692331314, + 0.019349435344338417, + 0.01604636013507843, + 0.031920790672302246, + 0.00871333945542574, + 0.008133945986628532, + 0.014758598990738392, + -0.028584633022546768, + -0.07096641510725021, + -0.06094282120466232, + 0.0011829646537080407, + 0.029431914910674095, + 0.06850560009479523, + 0.010165025480091572, + 0.025777045637369156, + 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Organizations often face challenges maintaining and upgrading systems built in obsolete programming languages, leading to increased costs and technical debt. Project Vision addresses this by enabling users to import an entire project and select individual code files for analysis. The tool automatically generates detailed use case and class diagrams, offering clear visual insights into the existing architecture. Additionally, it provides a comprehensive summary that explains the functionality and design of the legacy code. The standout feature is its ability to generate equivalent code in a modern programming language from the summary, significantly reducing manual conversion efforts. Targeted at developers, software architects, and IT modernization teams, Project Vision not only simplifies the understanding of legacy systems but also accelerates their transformation into efficient, future-ready solutions.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/madeye/project-vision\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7hunuc600002v70nxwseyus/cm77cwgan00262v70095xod8i_imageLink_1dmmao0io6.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.03476230055093765, + 0.03664368391036987, + -0.048341769725084305, + -0.05659222975373268, + 0.09084136039018631, + -0.04965723305940628, + 0.002697145566344261, + 0.03755643591284752, + -0.027608875185251236, + -0.04097443446516991, + -0.09837919473648071, + -0.019234582781791687, + 0.015379715710878372, + -0.009701095521450043, + -0.005528001114726067, + 0.03183252736926079, 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aims to develop an advanced sales ai agent equipped with a chatbot that utilizes IBM Granite models to create personalized automated customer interactions for CRM. \nBy leveraging the power of AI, the agent builds detailed psyche profiles of clients from a huge swath of digital info sources, for example, a Chopper bike company selling to a motorcycle enthusiast like Keanu Reeves, based on their preferences, background and past interactions. \n\nThis solution will not only engage users through appropriate natural language conversations but also provide agents with valuable insights and support tools to enhance customer satisfaction. \nFeatures include: \n1. User-friendly interface that displays chat history and a chat section\n2. Relevant support information - including sales metrics, customer personas and profiles\n3. Current goals being tracked by ai agent\n\nThese ensure seamless communication and fostering a deeper connection between the brand and select customers. Ultimately, our goal is to drive sales while delivering a tailored experience that meets the unique needs of each client.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/crm-runners/granite-sales\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7hum66k000p357mxn7ebjub/cm7gm952n00dc3588g9i2v6zx_imageLink_e6dlt803gy.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.08894553780555725, + -0.012537327595055103, + 0.0015536803985014558, + -0.02638157643377781, + -0.050610266625881195, + -0.0010529599385336041, + 0.0786844864487648, + 0.016593139618635178, + -0.022155042737722397, + -0.10478617995977402, + -0.02490340545773506, + -0.030721716582775116, + 0.04945404827594757, + 0.014232348650693893, + 0.06698039174079895, + 0.009601341560482979, + 0.13218063116073608, + -0.01662948541343212, + 0.0007792229298502207, + -0.012097637169063091, 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consulting. By asking five targeted questions, it pinpoints core business challenges and assembles a tailored Google Slides deck packed with actionable insights. This streamlined approach is ideal for startups seeking cost-effective guidance, mid-sized companies aiming to accelerate strategic planning, and enterprise teams needing quick turnarounds on pressing issues.\nBesides that, our solution addresses a growing need for flexible, data-driven consultancy across multiple industries\u2014technology, finance, healthcare, manufacturing, and more. With market pressures intensifying, businesses require faster insights to stay competitive. This AI agent\u2019s speed, interactivity, and affordability meet that demand head-on.\nNot to mention, 501.ai is designed for a wide spectrum of users, from startups seeking actionable guidance on a tight budget to small and mid-sized enterprises eager to accelerate strategic decision-making without incurring heavy consulting fees. Larger enterprise teams, meanwhile, can benefit from near-instant analyses that streamline internal planning cycles and reduce the need for prolonged external engagements. \nBeyond ideas, our Google Slides deck outlines recommended timelines, resource requirements, and milestones. Each suggestion is grounded in best practices, so companies have a clear roadmap to action. This ensures that strong ideas translate into measurable progress.\nIn essence, our AI Consulting Agent revolutionizes how businesses tackle complex challenges. By blending rapid data gathering, structured problem-solving, and automated presentation design, it empowers a wide range of teams to make smarter, faster decisions\u2014ultimately driving innovation, reducing overhead, and achieving tangible results.\n\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/wbrozz/5o1-ai\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7hukwa100113j6xu23zexcp/cm79uhg5a000p3b6xkyhiyw1g_imageLink_ke12uk0ggw.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.04358827322721481, + -0.033019814640283585, + -0.017666278406977654, + 0.023094702512025833, + 0.05601834878325462, + -0.039106786251068115, + -0.02223980240523815, + 0.051003918051719666, + 0.024596048519015312, + -0.02302531525492668, + -0.08902739733457565, + 0.02558930777013302, + -0.05914695933461189, + 0.02953571267426014, + 0.0051546660251915455, + 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Personal Productivity Assistant is a cutting-edge tool designed to revolutionize how individuals manage their tasks, time, and productivity. Leveraging the power of IBM Granite\u2019s generative AI capabilities, this app goes beyond traditional task management by offering intelligent, personalized features that help users stay organized, prioritize effectively, and achieve their goals faster.\n\nAt its core, the app provides a modern and intuitive interface for creating, updating, and deleting tasks. Users can easily set deadlines, assign priorities, and categorize tasks to keep their workflow streamlined. What sets this app apart is its AI-driven insights, which analyze task patterns, provide productivity recommendations, and generate step-by-step guides to help users complete tasks efficiently.\n\nKey features include:\nTask Management: Create, and delete tasks with ease.\nAI-Powered Prioritization: Automatically prioritize tasks based on deadlines, importance, and user behavior.\nReminders and Notifications: Never miss a deadline with timely reminders for upcoming tasks.\nProductivity Insights: Get actionable tips and recommendations to improve time management and focus.\nNatural Language Input: Add tasks using voice or text commands for a seamless experience.\n\nBuilt with a tech stack, including Streamlit for the frontend, Python for the backend, and IBM Granite for AI-driven features, this app is designed to be both powerful and easy to use. Whether you\u2019re a busy professional, a student, or someone looking to stay organized, the AI-Powered Personal Productivity Assistant adapts to your needs and helps you work smarter, not harder.\n\nLooking ahead, the app has a clear roadmap for future enhancements, including calendar integration, team collaboration features, and advanced analytics. By combining AI innovation with user-centric design, this project aims to transform the way people approach productivity, making it easier than ever to stay on track and achieve success.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/error404/error404\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7huc9dx001635713umihy75/cm7h5mhuw000p3576zbxod5os_imageLink_nz4p2v0id2.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.08145640790462494, + 0.007880842313170433, + 0.04195428267121315, + 0.04968476668000221, + 0.022264106199145317, + -0.006866932846605778, + 0.04460872337222099, + 0.04145994782447815, + -0.05319027975201607, + 0.007481267210096121, + -0.06082303449511528, + -0.06243792548775673, + 0.015527216717600822, + 0.07661086320877075, + -0.02245304174721241, + 0.05762176960706711, + 0.08297424763441086, + -0.08372777700424194, + 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with IBM Granite 3.8B at its core. Our team developed a dual-layer analysis pipeline that processes operational data through both structured metric calculations and Granite's natural language capabilities.\nTechnical Implementation:\n\nFrontend: Built with Next.js 15 and React 19, featuring real-time WebSocket updates and interactive visualizations using Recharts. The UI includes dark/light mode theming, responsive layouts, and enterprise-grade components from shadcn/ui.\nBackend: FastAPI implementation with a sophisticated analysis pipeline, MongoDB integration via motor, and GridFS for large file handling up to 100MB.\n\nKey Features:\n\nData Processing & Analysis:\n\n\nSupport for CSV and Excel with robust validation\nParallel processing pipeline using IBM Granite for text analysis and structured metrics\nReal-time thought process visualization through WebSocket connections\nComprehensive error handling with automatic retries\n\n\nVisualization & Metrics:\n\n\nInteractive performance dashboards showing cycle times and throughput\nProcess pattern detection with confidence scoring\nResource utilization analysis with heat maps\nAnomaly detection and bottleneck identification\n\n\nEnterprise Integration:\n\n\nWebSocket-based real-time updates\nMongoDB GridFS for scalable file storage\nComprehensive API documentation\nPDF report generation with detailed insights\n\n\nProcess Mining Capabilities:\n\n\nAutomated pattern recognition in process flows\nResource allocation optimization suggestions\nPerformance bottleneck identification\nCross-process correlation analysis\n\n\nProduction Features:\n\n\nRole-based access control\nDark/light mode support\nResponsive design for all devices\nEnterprise-grade error handling\n\nThe system demonstrates advanced integration of IBM Granite through:\n\nToken-optimized prompting\nStructured output parsing\nError recovery mechanisms\nContext-aware analysis\n\n\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/pl/processlens-enterprise-process-analysis-with-ibm\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7hu7ww5000p3p713hqb83qd/cm7fm1ekz000p3p70c24rtvix_imageLink_a3d58f0386.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.1074284240603447, 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Traditional AI models struggle with multi-dimensional failure detection, leading to inefficiencies and costly downtime.\nSo, our team developed Freya\u2014a quantum-enhanced predictive maintenance system that combines Quantum State Analysis, AI-driven scheduling, and IBM\u2019s Granite 3.1-8b-instruct AI to predict and prevent failures before they happen. Freya analyzes sensor data in real time, detecting anomalies 48 hours in advance, optimizing maintenance schedules, and reducing downtime by 30%.\nKey Features:\n\ud83d\udd39 Quantum-Enhanced Anomaly Detection \u2013 Detects failures invisible to traditional AI\n\ud83d\udd39AI-Driven Maintenance Planning \u2013 Optimizes scheduling and resource allocation\n\ud83d\udd39 IBM Granite AI Core \u2013 Industry-trained with 95% prediction accuracy\n\ud83d\udd39 SaaS Model for Enterprises \u2013 Scalable solution for manufacturing, aerospace, energy, and smart cities\n\nBy leveraging quantum computing principles and advanced AI, Freya transforms industrial maintenance from a reactive process into a proactive and cost-efficient strategy, ensuring maximum uptime and efficiency.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/freya-ai/freya-quantum-predictive-maintenance-system\nImage: 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Built with Streamlit and powered by IBM's Granite models, this tool enables HR managers to upload employee data (e.g., satisfaction scores, performance ratings, feedback) via CSV files and generate actionable insights. The application offers two core functionalities: individual employee reports and department-level summaries. Individual reports detect social bias in feedback using Granite Guardian, provide concise summaries in bullet points, and visualize employee satisfaction and performance metrics against departmental averages. Department reports aggregate data to highlight team trends and recommend specific managerial actions, supported by visualizations like satisfaction distribution and performance correlations. Hosted in a multipage structure, the app ensures efficient navigation and scalability, making it a valuable asset for data-driven HR decision-making.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/arandu/granite-hr-insights\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7hu338b0000356y17e9g1fi/cm7f7shh2000o3572zl3txcxh_imageLink_a9d0m803uy.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.05759231746196747, + 0.013806728646159172, + -0.0345415361225605, + 0.05467214435338974, + 0.05800813436508179, + 0.005453546065837145, + -0.03447490185499191, + -0.030680637806653976, + -0.009251933544874191, + -0.021143916994333267, + -0.05856926739215851, + -0.01728607341647148, + 0.05008457601070404, + 0.0030002023559063673, + -0.018454669043421745, + 0.03408900648355484, + 0.038562167435884476, + 0.03438565507531166, + 0.006843439303338528, 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Voice commands are slow, and existing hardware solutions are expensive.\n\n\ud83d\udca1 Solution:\nAn AI-powered eye-tracking cursor using IBM Granite Vision Transformer to enable hands-free control of PCs and smartphones with just eye movements and blinks.\n\n\ud83d\ude80 Key Features:\n\u2705 Gaze-Based Cursor Movement \u2013 Move the cursor by looking around.\n\u2705 Blink to Click \u2013 Short blink for left-click, long blink for right-click.\n\u2705 Gaze Scrolling \u2013 Look up/down to scroll pages and reels.\n\u2705 Real-Time AI Adaptation \u2013 Model learns user-specific gaze patterns.\n\u2705 No Extra Hardware Needed \u2013 Works with a standard webcam.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/revolutionnaires/eye-nav\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7hthwhb00002v79sqky34n3/cm7euy733000s2v7rgu8o8s3p_imageLink_l4cf70iuo.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: 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Our AI-powered job board extension solves these challenges by integrating Generative AI & Market Intelligence into job boards worldwide.\nKey Features:\n\u2705 AI-Powered Market Analysis \u2013 Analyzes job postings to predict future demand for roles and salary trends.\n\u2705 Job Description Optimizer \u2013 AI-enhanced job posts with SEO-friendly keywords & engagement-driven improvements.\n\nThis AI feature transforms job boards into data-driven hiring platforms, giving recruiters real-time market insights and better job postings for maximum impact.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/shd/ai-powered-recruitment-assistant\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7htf9tz0000356ytgxu8b3i/cm7ar84y7000x356ywzn1k920_imageLink_214p2q0ij0.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.10363976657390594, + 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Intelligence: Predicts trends, optimizes decision-making and maximizes success\nrates.\n\ud83d\ude80 With AI & mentorship, professionals gain clarity, accelerate growth and secure high-impact\nopportunities.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/competitivia-assistant-ia/competitivia-ai-assistant-mentor-ai\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7htcusf00002e6oljbsc7bl/cm7axv9bm000p2e6o8ga1sljo_imageLink_q3cnnl03vi.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.04978116229176521, + -0.0054041617549955845, + -0.01995447836816311, + 0.041326723992824554, + -0.007000789511948824, + 0.022516626864671707, + -0.018100107088685036, + 0.0024483378510922194, + -0.048775408416986465, + -0.04190482944250107, + -0.049898140132427216, + -0.008054780773818493, + 0.027206629514694214, + 0.04316899552941322, + 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"Title: EcoRoute AI\nDescription: EcoRoute AI: Sustainable Supply Chain Optimization\n\nEcoRoute AI is an innovative solution designed to optimize logistics routes for freight companies while prioritizing sustainability. By leveraging AI-powered route optimization, real-time weather data, dynamic fuel pricing, and emissions tracking, EcoRoute AI helps businesses minimize fuel consumption, reduce carbon emissions, and lower operational costs.\n\nThe platform provides a user-friendly dashboard where fleet managers can input key parameters like truck weight and route details. It then delivers key metrics such as total distance, fuel consumption, CO\u2082 emissions, and estimated costs for various routes. Real-time data, including fuel prices and weather conditions, further enhances route recommendations, ensuring that businesses can make adaptive decisions based on current circumstances.\n\nIn addition to route optimization, EcoRoute AI tracks sustainability goals by offering insights into carbon emissions reduction, offsetting trees, and environmental impact. Through visualizations and comparison tools, businesses can balance cost-saving with environmental responsibility.\n\nBy integrating with IBM Granite Route Optimization, EcoRoute AI provides comprehensive, dynamic route recommendations, making it an essential tool for companies committed to green logistics, cost efficiency, and reducing their carbon footprint.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/jackie-brown/ecoroute-ai\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7htcl8f000o357o86iqokl5/cm7alzeui00003570co2z56gu_imageLink_6u4cd00iaq.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.027210164815187454, + 0.0182008258998394, + -0.004626972135156393, + 0.08049120008945465, + 0.07867392897605896, + -0.03578724339604378, + -0.03763106092810631, + 0.0325755812227726, + -0.032755911350250244, + -0.03302733227610588, + 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Here\u2019s how it works:\n\nStep 1: User Input\nUsers enter:\n\nProduct name.\n\nTwo-letter country code.\n\nNumber of search results, YouTube videos, and comments to analyze.\n\nSelect \u2018Service\u2019 or \u2018Product\u2019.\n\nStep 2: Web Search\nThe Serper tool searches the web for product/service details like name, price, and link.\n\nStep 3: Web Scraping\nThe product link is processed by Crew AI\u2019s ScrapeWebsiteTool to extract detailed information from the webpage.\n\nStep 4: YouTube Analysis\nThe product name is passed to the YouTube API to find related videos. Video transcripts are extracted using youtube_transcript_api, and comments are collected for sentiment analysis.\n\nStep 5: AI Analysis\nCollected data\u2014transcripts, scraped content, and product details\u2014are passed to the IBM Granite Model (granite-3-8b-instruct). It generates a detailed analysis, including SWOT, pros/cons, and sentiment. This repeats for all search results.\n\nStep 6: Final Output\nInsights are consolidated using the IBM Granite Model. Key metrics (price, ratings, offers) are visualized using Plotly bar graphs. A pie chart shows positive vs. negative comments for sentiment analysis.\n\nVisualization\n\nBar Graphs: Compare price, ratings, and offers.\n\nPie Charts: Display sentiment distribution.\n\nInqube AI combines web scraping, YouTube analysis, and AI to deliver actionable insights for competitor analysis and business decisions.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/artifical-ignorance/inqubeai\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7htbaxo002u356tipynpay3/cm7evvps8000r356ue669wcf9_imageLink_rzkn40gnh.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.14766065776348114, + -0.08557679504156113, + -0.0555943064391613, + -0.0226023830473423, + 0.09672627598047256, + -0.0030790534801781178, + 0.027055539190769196, + 0.033788930624723434, + 0.03991099074482918, + -0.04457861930131912, + -0.04389844089746475, + 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Gym\nDescription: EzTo is a comprehensive gym management platform that revolutionizes the fitness industry by integrating advanced technologies such as NFC for seamless access control and contactless payments, real-time analytics for data-driven decision-making, and a user-friendly mobile app for enhanced client experiences. Our platform utilizes IBM Granite for interpreting our computer vision model, enabling precise exercise analysis and real-time feedback, offering a virtual coaching experience without the need for a personal trainer. EzTo streamlines operations through smart automation, from user onboarding and membership management to financial reporting, allowing gym owners to focus on growth and customer satisfaction. With a robust marketplace for NFC hardware, including readers, cards, and wearables, EzTo provides an all-in-one, scalable solution for gyms of all sizes, transforming them into tech-driven wellness hubs where efficiency, innovation, and fitness excellence converge.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/llauchas-insight/ezto-gym\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7hta6vi0000356yjpq3evay/cm7dg1s2o000p357bb3cyyfzp_imageLink_hx43mx0iim.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.06800796836614609, + 0.06022229790687561, + -0.007477570325136185, + -0.017177417874336243, + -0.012673834338784218, + 0.0029559191316366196, + 0.0875786691904068, + 0.04096776992082596, + -0.047289323061704636, + -0.019893070682883263, + -0.022350331768393517, + -0.0023349481634795666, + 0.0845646858215332, + -0.005539272911846638, 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EduNova\nDescription: AI-Powered Interactive Roadmap Generation for Learning\n\nOur system transforms unstructured documents into structured, interactive learning roadmaps using Retrieval-Augmented Generation (RAG) and Chroma as a vector store. It helps learners navigate complex materials efficiently by consolidating key topics into logical, visually structured nodes.\n\nHow It Works:\nChunking & Metadata Extraction \u2013 Documents are split into chunks (~1000 tokens), each tagged with chunk_id, topic, keywords, and summary for efficient retrieval.\nRoadmap Generation \u2013 Instead of mapping chunks directly, the LLM organizes related content into structured learning nodes, ensuring a logical study flow. Each node is assigned a difficulty level to help learners prioritize topics effectively.\nQuiz-Based Reinforcement \u2013 AI-generated quizzes for each node encourage active learning. Questions reference chunk IDs to maintain accuracy and relevance.\nInteractive Q&A \u2013 Users can ask topic-specific questions, and the system retrieves relevant chunks to generate informed responses. If gaps exist, it suggests further reading.\nWeb-Based Visualization \u2013 The structured roadmap is displayed in an interactive web interface, allowing users to explore topics, track progress, attempt quizzes, and engage with AI-powered insights.\nThis system enhances comprehension, retention, and engagement by transforming static documents into an intuitive, adaptive, and interactive learning experience.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/cogniverseai/edunova\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7ht6cag0000356usz3de89c/cm793f9u00020356tdv79w8td_imageLink_lpcy9y03kb.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.007588935550302267, + 0.0189922284334898, + -0.011786827817559242, + 0.04715556278824806, + 0.07825978845357895, + -0.023689310997724533, + 0.00841525662690401, + 0.04708530753850937, + 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Over time, the AI will evolve to generate documents on demand and offer multiple ways to organize them\u2014by department, month, and more. \n\nThe app also creates a To-Do list by pulling action items from your emails and chat instructions. Plus, you can search all your documents and conversations using contextual queries, making it easy to find exactly what you need.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/unum/the-ai-note-app\nImage: https://storage.googleapis.com/lablab-static-eu/images/midjourney/submission/submission%20(24).png\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.05488676205277443, + -0.012496674433350563, + 0.00985630787909031, + 0.019558556377887726, + 0.026660624891519547, + 0.035909757018089294, + 0.015271371230483055, + 0.03823542222380638, + 0.06344430893659592, + 0.007764088921248913, + -0.08231272548437119, + 0.0356539823114872, + -0.05377289280295372, + 0.03442959114909172, + 0.0642411857843399, + 0.014753437601029873, + 0.009417406283318996, + -0.07932738214731216, + -0.003106403164565563, + -0.0011334847658872604, + 0.05650024116039276, + 0.06260089576244354, + 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It integrates advanced AI-driven analytics, natural language processing (NLP), and predictive modeling to enhance productivity and well-being. Designed to cater to both corporate professionals and healthcare providers, GraniteFit offers a seamless experience by automating reminders, scheduling tasks, and improving personal and workplace efficiency.\n\nThis AI-driven assistant not only simplifies daily tasks but also ensures a healthier lifestyle by sending personalized reminders for medication, hydration, physical activity, and work-related tasks. The system can intelligently analyze user behavior, predict needs, and provide real-time insights to optimize workflow and personal health. Leveraging IBM Granite AI, it ensures a highly scalable, secure, and adaptive AI model that evolves based on user interactions.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/ai-ninjas/granitefit-ai\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7ht3kvc0000356yxctsyxoi/cm7bpx2yy0000357bbv0phgbn_imageLink_f43msl0ivh.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.11113795638084412, + 0.004276534542441368, + 0.0359668955206871, + 0.06057892367243767, + 0.07728447765111923, + 0.011441204696893692, + 0.06434444338083267, + 0.00973593257367611, + -0.04268498346209526, + -0.08907861262559891, + -0.11461139470338821, + -0.0798410028219223, + 0.013149494305253029, + 0.03368977829813957, + -0.016744090244174004, + 0.0021084884647279978, + 0.05987061932682991, + -0.036300189793109894, + -0.036195773631334305, + -0.0515613816678524, + 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on specific job descriptions. By leveraging generative AI, the tool analyzes job postings and refines resume content to better align with employer requirements, increasing the chances of getting shortlisted. The solution features a Flask-based backend that processes user input and integrates IBM Granite AI for content enhancement. The frontend, built with HTML, CSS, and JavaScript, ensures a seamless user experience. Easy to deploy and use, AI Resume Enhancer simplifies the job application process.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/aignite/ai-resume-enhancer\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7hsyh3z001e356x07cm1fkz/cm7211vs10019356xymwyr2td_imageLink_0t12ex0gk6.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.1834782212972641, + -0.0006367654423229396, + 0.007083278615027666, + 0.06919810175895691, + 0.052506498992443085, + -0.01195067074149847, + -0.03240948170423508, + -0.03112711012363434, + -0.13948512077331543, + -0.10118541866540909, + -0.05982203781604767, + 0.029949091374874115, + 0.03269464895129204, + -0.04483103007078171, + -0.013713975436985493, + 0.03731647878885269, + 0.0528487004339695, + 0.043565984815359116, + -0.0046661626547575, + -0.10881752520799637, + -0.0043993317522108555, + 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today\u2019s digital world. By leveraging IBM Watsonx and Granite AI, FraudShield analyzes transactions as they happen, assigns a risk score (0 to 1), and flags suspicious activities in real-time.\nKey features of FraudShield include:\nReal-Time Fraud Detection: Instantly identifies and stops fraudulent transactions.\nMulti-Currency Support: Works seamlessly with USD, EUR, INR, GBP, JPY, and more.\nInteractive Dashboard: Visualizes transaction trends, risk scores, and fraud hotspots.\nAI Chatbot: Provides instant support and answers user queries.\nDetailed Reports: Generates comprehensive insights for better decision-making.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/tech-innovation/fraudshield-ai-powered-fraud-detection-system\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7hsy7ig0000356x66qo3f40/cm7c144ln0014356xtmi84sru_imageLink_qbchxf03ii.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: 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Traditional analysis methods lack AI-driven insights, making it difficult to anticipate risks and opportunities efficiently.\n\n\ud835\udc12\ud835\udc28\ud835\udc25\ud835\udc2e\ud835\udc2d\ud835\udc22\ud835\udc28\ud835\udc27:\nGranite-AI Market Navigator addresses this gap by using the Bing News API to fetch real-time news and IBM Granite AI models (Granite-13b-Instruct-V2) to analyze sentiment. This AI-powered solution visualizes market trends through an interactive sentiment thermometer and provides AI-generated investment recommendations.\n\n\ud835\udc0a\ud835\udc1e\ud835\udc32 \ud835\udc05\ud835\udc1e\ud835\udc1a\ud835\udc2d\ud835\udc2e\ud835\udc2b\ud835\udc1e\ud835\udc2c & \ud835\udc05\ud835\udc2e\ud835\udc27\ud835\udc1c\ud835\udc2d\ud835\udc22\ud835\udc28\ud835\udc27\ud835\udc1a\ud835\udc25\ud835\udc22\ud835\udc2d\ud835\udc22\ud835\udc1e\ud835\udc2c:\n\n\u2fe1 \ud835\udc11\ud835\udc1e\ud835\udc1a\ud835\udc25-\ud835\udc13\ud835\udc22\ud835\udc26\ud835\udc1e \ud835\udc0c\ud835\udc1a\ud835\udc2b\ud835\udc24\ud835\udc1e\ud835\udc2d \ud835\udc0d\ud835\udc1e\ud835\udc30\ud835\udc2c \ud835\udc05\ud835\udc1e\ud835\udc2d\ud835\udc1c\ud835\udc21\ud835\udc22\ud835\udc27\ud835\udc20:\n. Users input keywords related to business trends.\n. The system fetches the latest news using the Bing News API.\n. Displays 5-10 relevant articles with summaries and direct links.\n\n\u2fe2 \ud835\udc08\ud835\udc01\ud835\udc0c \ud835\udc06\ud835\udc2b\ud835\udc1a\ud835\udc27\ud835\udc22\ud835\udc2d\ud835\udc1e \ud835\udc00\ud835\udc08-\ud835\udc0f\ud835\udc28\ud835\udc30\ud835\udc1e\ud835\udc2b\ud835\udc1e\ud835\udc1d \ud835\udc12\ud835\udc1e\ud835\udc27\ud835\udc2d\ud835\udc22\ud835\udc26\ud835\udc1e\ud835\udc27\ud835\udc2d \ud835\udc00\ud835\udc27\ud835\udc1a\ud835\udc25\ud835\udc32\ud835\udc2c\ud835\udc22\ud835\udc2c:\nAnalyzes news headlines and summaries using IBM Granite-13B-Instruct-V2.\nDetermines sentiment categories: Positive, Neutral, or Negative.\nDisplays an AI-driven sentiment thermometer (Hot = Trending, Cold = Low Impact).\n\n\u2fe3 \ud835\udc01\ud835\udc2e\ud835\udc2c\ud835\udc22\ud835\udc27\ud835\udc1e\ud835\udc2c\ud835\udc2c \ud835\udc08\ud835\udc27\ud835\udc2c\ud835\udc22\ud835\udc20\ud835\udc21\ud835\udc2d\ud835\udc2c & \ud835\udc03\ud835\udc1e\ud835\udc1c\ud835\udc22\ud835\udc2c\ud835\udc22\ud835\udc28\ud835\udc27 \ud835\udc00\ud835\udc2c\ud835\udc2c\ud835\udc22\ud835\udc2c\ud835\udc2d\ud835\udc1a\ud835\udc27\ud835\udc1c\ud835\udc1e:\nProvides AI-powered recommendations based on sentiment trends.\nExample: High positive sentiment \u2192 Investment\u00a0Opportunities.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/genai-innovators/granite-ai-market-navigator\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7hsu213000p3j71yccamf3s/cm77vxw9a000v3j7q1we92ym5_imageLink_5plydc0i9w.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.07127176225185394, + -0.056981660425662994, + -0.02674664556980133, + 0.08309971541166306, + 0.08938401192426682, + -0.009970903396606445, + -0.04100098833441734, + -0.021385839208960533, + 0.056825604289770126, + 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+ -0.035255737602710724, + -0.06891383230686188, + 0.02480919286608696 + ] + }, + { + "content": "Title: Crystallography information file Analyze\nDescription: *\"Analyze the uploaded CIF (Crystallographic Information File) and generate a comprehensive textual report detailing the structural and chemical properties of the given crystalline material. Begin by identifying the crystal system, space group, and symmetry operations governing the structure. Provide an in-depth examination of the unit cell parameters, including the lattice dimensions (a, b, c) and the interaxial angles (\u03b1, \u03b2, \u03b3), discussing how these parameters influence the overall stability and geometry of the crystal.\n\nNext, extract and interpret the atomic positions, coordination environment, and bonding characteristics within the structure. Identify the unique atomic sites and their respective occupancy, ensuring that the provided atomic coordinates align with the expected symmetry constraints. Discuss the types of chemical elements present in the material, their oxidation states if applicable, and any significant interactions between atoms, such as covalent bonding, ionic bonding, or van der Waals forces.\n\nAdditionally, analyze any reported thermal parameters, including atomic displacement factors (B-factors), and comment on their implications regarding the vibrational motion of atoms in the crystal. If applicable, review any supplementary data related to the material\u2019s electronic structure, density, or potential defects that may influence its physical and chemical properties.\n\nCheck for any inconsistencies, missing data, or errors in the CIF file, such as incomplete atomic positions, undefined space groups, or unusual lattice parameters, and provide explanations on how these issues might affect the reliability of the structural analysis. If necessary, suggest potential corrections or refinements that could improve the accuracy of the crystallographic description.\n\n\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/quanta/crystallography-information-file-analyze\nImage: https://storage.googleapis.com/lablab-static-eu/images/midjourney/submission/submission%20(30).png\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.018082145601511, + -0.040033724159002304, + -0.07307998090982437, + -0.05146842822432518, + 0.023292509838938713, + 0.0226459763944149, + -0.005587854888290167, + 0.08951167017221451, + -0.017028843984007835, + 0.02197079360485077, + -0.00023258227156475186, + -0.035553090274333954, + 0.025000855326652527, + 0.022224564105272293, + -0.03377678990364075, + -0.036576129496097565, + -0.03800157830119133, + -0.00957559421658516, + -0.06506302207708359, + 0.10636410862207413, + 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processes, particularly when it comes to handling confidential documents and streamlining employee onboarding. Built on IBM GRANITE\u2019s advanced AI technology, MENTHOR acts as an intelligent, intuitive chatbot that empowers employees to instantly access the information they need\u2014whether it\u2019s policies, certifications, or internal guidelines\u2014reducing search time by up to 95%. What sets MENTHOR apart is its commitment to security: unlike other AI tools that require data to be stored on external cloud servers, MENTHOR ensures all information remains within your company\u2019s internal network, eliminating the risk of data breaches and ensuring compliance with the strictest security standards.\n\nThis solution is tailor-made for businesses that deal with large volumes of sensitive documentation, where efficiency and security are non-negotiable. By simplifying access to critical information, MENTHOR not only accelerates onboarding for new hires but also frees up senior employees from repetitive queries, allowing them to focus on high-value tasks. The result? A more productive, autonomous, and agile workforce.\nMENTHOR\u2019s fully customizable platform includes hardware installation, seamless document uploads, continuous updates, and AI improvements, making it a scalable solution for businesses of all sizes. While competitors like Workday, Slite AI, and Cassidy AI offer similar tools, they fall short in one critical area: security. MENTHOR\u2019s on-premise data management system ensures that no sensitive information ever leaves your company\u2019s control, giving you peace of mind in an era where data breaches are a constant threat.\n This isn\u2019t just another AI assistant\u2014it\u2019s a strategic investment in the future of your company. 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By leveraging a fine-tuned CLIP model for shape detection and IBM\u2019s Granite-3B-Code-Instruct-2k for code generation, TopoGen3D automates the process of creating 3D models from 2D inputs. The pipeline identifies the best-matching shape based on accuracy scores, generates Open3D code, and enables visualization in web or desktop environments using PyVista. Designed for topology-aware applications, TopoGen3D is ideal for researchers, educators, and developers working in computational geometry, 3D modeling, and visualization. Its modular design allows seamless integration with tools like CLIP, IBM Granite, and Open3D, making it a versatile solution for transforming 2D concepts into interactive 3D models.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/qutrit/topogen3d-topology-aware-open3d-code-generation\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7hs7um00000356yst7hca4s/cm7etf5nn0011356ybquopdf5_imageLink_ovmuuh0ism.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.0588114969432354, + -0.06926551461219788, + -0.02815665304660797, + -0.05915474519133568, + 0.057596441358327866, + -0.10497207939624786, + -0.10860682278871536, + 0.013512381352484226, + -0.04602351412177086, + -0.02769637480378151, + -0.06379178166389465, + -0.03563448041677475, + -0.010815867222845554, + 0.026188714429736137, + -0.003194213379174471, + -0.011556590907275677, + 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Assistant\nDescription: PM-AI represents a transformative leap in project management efficiency. This innovative tool addresses the persistent challenges of disorganized meetings, scheduling conflicts, and overall productivity loss. By automating tasks like call scheduling, minute generation, and task assignment, PM-AI utilizes historical project data to recommend optimal meeting slots, set smart agendas, and identify key participants. With over one-third of European workers reporting fatigue and related health issues, and younger professionals particularly impacted, PM-AI\u2019s user-friendly, conversation-based interface offers an intuitive, step-by-step approach to project planning. Differentiating itself from tools such as Google Calendar, RescueTime, and Clockify, PM-AI not only synchronizes tasks across teams but also provides personalized insights through interactive chat, ultimately driving better operational performance and reducing techno-stress. \nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/the-lonelist/pm-ai-smart-project-assistant\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7hrjy6q0001357dc40jt5as/cm79hezwt001p3v6bfcdjgccb_imageLink_dm3bnn0ivg.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.0838400200009346, + -0.009338024072349072, + 0.0656454935669899, + 0.05541753023862839, + 0.057280488312244415, + -0.016257410869002342, + 0.051667243242263794, + 0.005394832696765661, + 0.02837509475648403, + -0.01657763496041298, + -0.1471482515335083, + -0.006577849853783846, + -0.0297479797154665, + 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"content": "Title: Content-Hub\nDescription: Content Hub is an innovative platform dedicated to transforming social media engagement through the generation of personalized, SEO-optimized content. Our solution is built on advanced artificial intelligence, leveraging IBM\u2019s Granite AI models and their robust APIs for inference. This integration allows us to deliver dynamic digital content that not only captures the unique voice of each user but also meets the stringent demands of today\u2019s competitive digital landscape. By processing data from major social media platforms such as Twitter, LinkedIn, and Instagram, Content Hub converts raw user interactions into compelling narratives within seconds.\n\nAt its core, Content Hub empowers users with actionable insights and analytics, enabling them to optimize their online presence and refine their digital communication strategies. Our platform exemplifies the potential of strategic AI integration, setting a new benchmark for efficiency and precision in digital marketing. With IBM\u2019s Granite AI technology as our foundation, we ensure reliability and performance while pushing the boundaries of automated content creation. We have meticulously designed system prompts for each mode\u2014Twitter tweet generation, threads generation, LinkedIn post generation, and our analysis models\u2014to maximize output quality.\n\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/content-hub/content-hub\nImage: https://storage.googleapis.com/lablab-static-eu/images/midjourney/submission/submission%20(21).png\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.03929581865668297, + -0.059033893048763275, + -0.02795771323144436, + 0.042496684938669205, + 0.10322815179824829, + -0.00812026858329773, + -0.0658177062869072, + 0.013798323459923267, + 0.024336600676178932, + -0.02035399153828621, + -0.036335237324237823, + -0.011999095790088177, + 0.13223645091056824, + 0.012758701108396053, + 0.006152321584522724, + 0.039636529982089996, + 0.08154702186584473, + -0.03565753996372223, + -0.07548219710588455, + 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to streamline and optimize the onboarding process, ensuring a seamless transition for new hires into your organization. By leveraging cutting-edge artificial intelligence technology, our app takes care of all the essential onboarding tasks, allowing HR teams to focus on what truly matters.\n\nKey Features:\nAutomated Document Management\nPersonalized Welcome Messages\nCompany Overview and Culture\nInteractive Training Modules\nTeam Introductions\nIT Setup Assistance\nBenefits and Perks Information\nFrequently Asked Questions (FAQ)\nFeedback and Continuous Improvement.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/mystics-of-art/employee-onboarding-assistant\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7hqbx6i00003j6xt62j5nsb/cm79xv4ds000p3j7fvkxax2q1_imageLink_5tcc6y03jw.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.07245642691850662, + 0.026239510625600815, + 0.00759264687076211, + 0.06379888206720352, + 0.04127674922347069, + 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Instantly understand your target audience by uploading your startup's materials like website link(s) and/or pitch deck. REACH analyzes real-time trends on Instagram, Twitter, and Reddit, delivering tailored insights on customer needs, competitor activity, and emerging opportunities. Get AI-powered marketing strategies and chat with a RAG-based AI agent to dive deeper into your data and the wider market. REACH empowers you to build products your customers crave, identify new opportunities, launch campaigns that resonate and connect with your target audience like never before.\n\n\nREACH automates market research by leveraging AI to extract, analyze, and generate insights from social data. Founders upload their startup materials (website links, pitch decks), which are processed into structured descriptions and stored as vector embeddings in a Weaviate database.\n\nREACH dynamically generates platform-specific keywords to fetch real-time data from Instagram, Twitter, and Reddit APIs. This data, combined with the startup's profile, is analyzed using IBM Granite-3B, identifying trends, customer pain points, and competitor activity. The system then generates tailored insights and marketing strategies optimized for each platform.\n\nThe AI agent enhances exploration with two core tools: a vector search for startup-specific knowledge and a real-time web search for broader market research. It intelligently selects the best source to generate data-driven responses, helping founders make informed strategic decisions.\n\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/reaching/reach\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7hqbv6z000q356xylqp4l4s/cm7hq5vyd000p356xe94d5v66_imageLink_c8kpn50icj.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.0776514932513237, + -0.09952214360237122, + -0.045512158423662186, + -0.0060437750071287155, + 0.08647474646568298, + 0.003227862296625972, + 0.015314959920942783, + 0.09214354306459427, + -0.018780676648020744, + -0.052931565791368484, + -0.03647860512137413, + 0.006919314153492451, + 0.01818857528269291, + -0.0056792148388922215, + 0.051241420209407806, + 0.016130356118083, + 0.0788012221455574, + -0.060160841792821884, + -0.04371137544512749, + -0.0556059405207634, + 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entirely on Granite Mixture of experts architecture.\nIt provides all relevant information from business systems like QuickBooks, Jira and Zendesk . With just a prompt, a business manager can receive information about his customers through the Zendesk APi called and fed into the model. And it helps with financial analysis with QuickBooks.\nIt is unfinished because this projects requires development of custom APis for it for easier and manageable intergration\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/drex/systems-gpt\nImage: https://storage.googleapis.com/lablab-static-eu/images/midjourney/submission/submission%20(19).png\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.11171987652778625, + 0.021843701601028442, + -0.09228730946779251, + -0.04869550094008446, + 0.010439627803862095, + -0.05230923742055893, + 0.0569935142993927, + 0.07198961079120636, + -0.013170200400054455, + -0.03304540365934372, + -0.06622974574565887, + 0.05982024967670441, + -0.0019047321984544396, + 0.007561640813946724, + 0.004094999749213457, + -0.10601913928985596, + 0.03239184617996216, + -0.036213405430316925, + 0.040220726281404495, + -0.03752052038908005, + 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committing resources. Using IBM Granite models, it analyses key factors such as market demand, competition, required capital, and risk assessment. The platform estimates human capital, time, and financial investment needed, providing data-driven insights for informed decision-making. Additionally, it automates role assignment and task distribution based on available expertise, ensuring efficient project execution. 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a lightweight yet impactful prototype designed to enhance transparency and decision-making in supply chain management. This demonstrates how explainable AI (XAI) can improve forecasting, inventory management, and risk assessment in the textile and retail industry. The solution focuses on four core features: demand forecasting, which predicts future sales while providing clear justifications (e.g., seasonal trends, historical sales patterns); inventory optimization, which recommends ideal stock levels based on lead times, demand fluctuations, and supplier reliability; a risk alert system, which proactively flags supply chain disruptions with real-time root-cause analysis; and a scenario simulator, allowing users to tweak key variables (e.g., demand increase, supplier delays) to assess potential impacts dynamically. The technical stack includes IBM Granite for AI explainability, Python and Pandas for backend data processing, Streamlit for a simple and interactive front-end, and Plotly/Matplotlib for advanced data visualizations. Users can upload CSV/Excel datasets (or use sample data) to generate real-time insights into sales trends, stock levels, supplier risks, and demand forecasts. Designed with a minimalist, data-driven UI supporting dark/light modes, this prototype is tailored for quick decision-making in supply chain networks. Future development plans include integration with ERP systems (SAP, Oracle), multi-user authentication, and expanded AI-driven logistics optimization, ensuring scalability and deeper industry impact.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/automaters/chainsink\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7hmcnx70000357fsh8y6dfi/cm7a2t5z7000p356xrnra8uop_imageLink_uecey703lz.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.09595438838005066, + -0.034840259701013565, + -0.022242886945605278, + 0.04093148559331894, + 0.04897211864590645, + -0.02707519195973873, + -0.05022183805704117, + 0.04642398655414581, + -0.07577890157699585, + -0.03180985152721405, + -0.015477973036468029, + -0.014470469206571579, + 0.013409703969955444, + 5.8444966271054e-06, + -0.008635180070996284, + 0.022135363891720772, + 0.01181795634329319, + 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to transform contract confusion into clarity. Contracts are the backbone of business, yet they remain complex, time-consuming, and difficult to manage. ConTrack leverages AI to streamline contract analysis, helping professionals understand agreements faster and mitigate risks effectively. Powered by IBM Granite and an Agentic RAG system, ConTrack extracts key terms, assigns obligations, scores compliance risks, and tracks critical deadlines. Users can instantly query contracts, receive concise summaries, and automate key workflows. With AI-driven automation, ConTrack ensures contracts work for you\u2014not against you.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/hawk-tuah-reborn/contrack\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7hm6r0300003b706wl48afs/cm79565ka000v3b767fyx3dfq_imageLink_geks10i98.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.11074557900428772, + 0.05218709632754326, + -0.056303974241018295, + 0.004056859295815229, + -0.037035368382930756, + 0.014260473661124706, + 0.012570422142744064, + 0.07536029070615768, + 0.03308701142668724, + 0.06318826973438263, + -0.06749963760375977, + -0.009109877049922943, + 0.035622529685497284, + 0.01104046031832695, + -0.022567326202988625, + 0.04119677096605301, + 0.08284961432218552, + -0.0015676792245358229, + -0.0085096824914217, + -0.02721557393670082, + -0.04312962666153908, + 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It leverages AutoGen\u2019s agent-based functionality to automate key steps like extracting candidate information, calculating job match scores, and generating skill-based interview questions. The system extracts essential details like education, experience, achievements, contact information, and skills, providing a comprehensive profile of each candidate. Using WatsonX, it enhances data extraction and analysis capabilities, ensuring accurate and efficient evaluations. Through Streamlit\u2019s user-friendly interface, recruiters can easily upload job descriptions and resumes, specify the number of interview questions, and receive a detailed analysis. The output includes a match percentage, tailored interview questions with suggested answers, and a concise candidate summary. This project saves time and effort by offering automated, data-driven insights for smarter and faster hiring decisions.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/resugenius/ai-cruit\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7hlkrkp000p357i9mae6unc/cm7dasln200003n7dnkhpzr2l_imageLink_mpijx10ikt.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.11495140939950943, + 0.03240031749010086, + -0.008751345798373222, + 0.040773019194602966, + 0.04214544966816902, + 0.04671674966812134, + 0.019495904445648193, + 0.045962654054164886, + -0.0780767872929573, + -0.07460681349039078, + -0.09062303602695465, + -0.08370538055896759, + 0.05323509871959686, + -0.006331354845315218, + -0.032500166445970535, + 0.01688515953719616, + -0.03308142349123955, + -0.06404175609350204, + 0.014486012049019337, + -0.10155215859413147, + 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Built with Streamlit, it provides an intuitive interface where users can easily upload CSV files and ask questions to get instant insights without needing any programming skills. The tech stack behind the platform includes Pandas for data manipulation and Natural Language Processing (NLP) models to interpret user queries. Streamlit\u2019s reactive UI ensures fast and smooth interactions, while the uploaded datasets are stored and processed efficiently, providing quick analysis and results on-demand.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/beginners/datatalk\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7hlekwu000n356xcxk8uijg/cm6znoown001c3x669yvkako6_imageLink_1eitex0ius.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.042306285351514816, + -0.004768758546561003, + -0.004812335129827261, + 0.03437710180878639, + -0.010090137831866741, + -0.07323924452066422, + 0.025133943185210228, + -0.0033027799800038338, + -0.019743308424949646, + 0.002817468484863639, + 0.005411163438111544, + -0.03173719719052315, + -0.010180187411606312, + -0.04277035593986511, + 0.04202805459499359, + 0.027216248214244843, + -0.022403905168175697, + 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challenging, especially when resumes don\u2019t align with job descriptions or fail to pass ATS (Applicant Tracking System) filters. AI Resume Optimizer simplifies this process by providing job seekers with an AI-driven tool to enhance their applications. Users upload their resumes and job descriptions, and the platform performs a skill gap analysis, identifying matched and mismatched skills and actionable insights. It also evaluates ATS compatibility, scoring the resume on experience match and formatting compliance. Additionally, an AI chat assistant answers user queries based on context. Finally, the platform generates an enhanced resume and cover letter, ensuring a better fit for job applications. Built with Streamlit, AI Resume Optimizer offers a seamless, efficient, and user-friendly experience for job seekers aiming to maximize their hiring potential.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/aifans/elevatecv-ai-powered-resume-and-ats-optimized\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7hl5kbv000p356zu3vhz49y/cm7dlmi2c000o357p4ger8kd7_imageLink_v83tte0i7r.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.16945050656795502, + -0.005723260343074799, + 0.003405722789466381, + 0.04327623173594475, + 0.07983953505754471, + -0.01693425513803959, + 0.04221483692526817, + -0.02699093520641327, + -0.07933034002780914, + -0.08266507834196091, + -0.07414073497056961, + -0.023676076903939247, + 0.0012031941441819072, + -0.0360143780708313, + -0.012693054974079132, + 0.026859048753976822, + 0.035219162702560425, + 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intelligent chat interface powered by IBM Granite AI. This powerful sidebar assistant understands natural language, allowing you to analyze data, generate reports, and access real-time information without complex formulas or programming.\n\nWith GridPilot, you can simply type questions about your spreadsheet data and receive instant insights. Need weather data? Want to search the web? Looking to create visualizations? Just ask. The assistant maintains context-aware conversations, making complex data analysis feel as natural as chatting with a colleague.\n\nKey capabilities include:\n\u2022 Natural language querying of spreadsheet data\n\u2022 Automated report and visualization generation\n\u2022 Real-time web search and weather information integration\n\u2022 Persistent chat history with context awareness\n\u2022 Custom instructions support for specialized workflows\n\u2022 Secure API key management and user-specific settings\n\nBuilt on Google Apps Script and powered by IBM Granite AI, GridPilot seamlessly integrates with your existing Google Sheets workflow. Whether you're a data analyst, business user, or anyone working with spreadsheets, GridPilot makes complex tasks simple through conversation.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/science-agentic/gridpilot-gsheets-agent-for-the-everyday-tasks\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7hkzaut000p356spnm4xhf9/cm7cagjpy000p3578ec5q1si2_imageLink_m3il3a0i9m.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.10165916383266449, + 0.005880506709218025, + -0.025245388969779015, + 0.03700313717126846, + -0.006895761471241713, + -0.057072870433330536, + 0.029471011832356453, + 0.014292138628661633, + -0.012868310324847698, + 0.012110038660466671, + -0.049338776618242264, + -0.05825429782271385, + 0.006948805879801512, + -0.000192749997950159, + 0.05136570706963539, + 0.033555496484041214, + 0.10580175369977951, + 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logistics management system built with Streamlit and IBM's Granite LLM API. This application helps dispatchers and logistics managers handle delivery operations more efficiently through an interactive chat interface and dashboard.\n\nFeatures\nAI Chatbot (LogiBot)\nInteractive chat interface powered by IBM Granite 3-8b-instruct model\nSpecialized in logistics and dispatch operations\nPre-set common queries for quick access\nReal-time response processing\nDashboard\nOverview of key logistics metrics\nReal-time tracking statistics\nPerformance indicators for:\nTotal Shipments\nIn-Transit Items\nDelivered Items\nPending Deliveries\nShipment Tracking\nIndividual shipment tracking\nInteractive map visualization\nTracking number lookup system\nAnalytics\nDelivery performance metrics\nMonthly delivery trends\nInteractive charts and visualizations\n\nTechnical Details\nFrontend: Streamlit\nAI Model: IBM Granite 3-8b-instruct\nAPIs:\nIBM Cloud IAM Authentication\nGranite API for text generation\nGeolocation services for tracking\nUrl: 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By leveraging advanced artificial intelligence and natural language processing (NLP), this chatbot provides instant, accurate responses to frequently asked questions about benefits, company policies, and other essential information. It guides new hires through a personalized onboarding journey, tailoring the process based on their specific role and department. This ensures that each employee receives relevant information and support, making their transition smoother and more efficient.\n\nThe chatbot also collects real-time feedback from new employees, allowing for continuous improvement of the onboarding process. This feedback loop helps identify and address any issues promptly, ensuring that the onboarding experience is constantly optimized. By automating many of the routine tasks involved in onboarding, the chatbot frees up HR personnel to focus on more strategic initiatives, while providing new employees with a more interactive and engaging introduction to the company.\n\nOverall, the HR Chatbot for Personalized Onboarding aims to create a seamless, efficient, and enjoyable onboarding experience, helping new hires adapt quickly to their new environment and become productive members of the team faster.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/born-to-kill/hr-chatbot-for-personalized-onboarding\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7hki3ln0000356zw2pvf605/cm76trl9f0043356yhb115ipd_imageLink_td4hr80i05.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.057726431638002396, + -0.03549261763691902, + 0.02212236262857914, + 0.07837333530187607, + 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Machine learning (ML) enhances oncology by analyzing medical data for early diagnosis, classification, and personalized treatment.\n\n### **1. Data and Preprocessing**\nML utilizes data from:\n- **Electronic Health Records (EHRs)**\n- **Genomic Data**\n- **Medical Imaging**\n- **Biomarkers and Lab Tests**\n\nData preprocessing includes cleaning, normalization, and feature selection to improve accuracy.\n\n### **2. ML Algorithms for Cancer Prediction**\n- **Supervised Learning:** Logistic Regression, Decision Trees, SVM, Neural Networks.\n- **Deep Learning:** CNNs for imaging, RNNs for time-series data, Autoencoders for genomic analysis.\n\n### **3. Applications**\n- **Breast Cancer:** Detects tumors in mammograms.\n- **Lung Cancer:** Identifies malignant nodules in CT scans.\n- **Skin Cancer:** Classifies skin lesions.\n- **Prostate Cancer & Leukemia:** AI enhances early detection.\n\n### **4. Benefits**\n- **Early Detection & Accuracy**\n- **Non-Invasive Diagnosis**\n- **Personalized Treatment**\n- **Faster Decision-Making**\n\n### **5. Challenges & Future Directions**\n- **Data Privacy & Bias Issues**\n- **Explainable AI for Trust**\n- **Integration into Healthcare Systems**\n- **Advances in AI for Drug Discovery**\n\n### **Conclusion**\nMachine learning is revolutionizing cancer prediction through early detection and personalized treatment. Continued advancements will further improve patient outcomes and cancer care.\n\n\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/mastermind/cancer-prediction-using-machine-learning\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7hk31m200003377w4oputyg/cm7aknlpb000v3375ke8ct76w_imageLink_258r7r03pi.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.035364966839551926, + -0.03709854185581207, + 0.02005915343761444, + -0.051916539669036865, + 0.03961285576224327, + -0.03926150128245354, + -0.021602991968393326, + -0.01542833261191845, + -0.06475772708654404, + -0.0742945596575737, + -0.07293792814016342, + -0.019541366025805473, + -0.016514157876372337, + 0.00809077825397253, + -0.09941309690475464, + 0.0416552908718586, + -0.06437740474939346, + 0.020512543618679047, + -0.11488653719425201, + 0.0034715349320322275, + 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images, and voice. Built using IBM Granite models and the Retrieval-Augmented Generation (RAG) framework, the system enhances search accuracy by integrating LLMs with external knowledge sources. It leverages IBM Watsonx.ai for intelligent responses and Neo4j for knowledge graph-based fact-checking. Designed for businesses, Sensei-Search helps in faster decision-making and smart information retrieval across diverse domains. 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insightful recommendations. Whether you\u2019re a student, researcher, or professional, Intellex provides real-time assistance in gathering, organizing, and interpreting information. It features AI-driven summarization, multilingual support, citation generation, and intelligent search capabilities. With an intuitive interface and seamless integration with various research platforms, it enhances productivity by delivering concise yet comprehensive insights. Intellex also includes an interactive chatbot to answer queries, assist in literature reviews, and provide structured research guidance, making research faster and more efficient.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/celestial-codex/intellex-research-assistant-ai\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7hikcqa000q356xbpekgeld/cm772uvn00041356xem15phre_imageLink_0xhg7p0iam.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.09065841883420944, + -0.023903895169496536, + 0.024528993293642998, + 0.05009974539279938, + 0.020793801173567772, + -0.04544849321246147, + 0.04074449464678764, + 0.05848603695631027, + 0.059838809072971344, + -0.02841039188206196, + -0.045609183609485626, + 0.007291344925761223, + 0.033563029021024704, + 0.017617277801036835, + -0.04453220218420029, + 0.04766298457980156, + 0.04132585972547531, 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a transformative, paperless IPD system designed to revolutionize the way healthcare facilities manage patient documentation. By integrating smart pen and tablet technology, doctors can seamlessly capture handwritten patient case sheets in real time. These handwritten inputs are then processed by cutting-edge IBM Granite AI models, which convert the text with remarkable accuracy\u2014regardless of language\u2014into digital, machine-readable format.\n\nThe system goes beyond simple transcription by automating critical clinical workflows. It automatically generates comprehensive discharge summaries by extracting key patient data from completed forms and additional text inputs. This not only reduces the administrative workload for physician assistants but also ensures consistency and completeness in patient records. Furthermore, the solution includes an AI-driven clinical error detection module that identifies and flags potential issues such as ambiguous handwriting, unclear dosage instructions, missing signatures, and drug-drug interactions. This proactive error management helps enhance patient safety and improves overall quality of care.\n\nAdditionally, our system features an intelligent case summary generation tool that compiles key patient information into a concise overview. This enables healthcare professionals to quickly review a patient\u2019s history and clinical status without having to sift through extensive documentation, thereby facilitating faster decision-making and more efficient cross-consultations.\n\nIn summary, our idea is to harness advanced AI technologies, particularly IBM Granite, to digitize, streamline, and secure healthcare documentation. This integrated solution not only optimizes clinical workflows and reduces manual errors but also significantly enhances patient care and operational efficiency, making it an indispensable tool for modern healthcare environments.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/granite-guardians/secure-ai-ipd-redefining-healthcare-documentation\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7hhk0px000p2v6xz0jsq5hw/cm79h2c0i001m2v6xgnmnf1zf_imageLink_w4dq6e03t6.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.07977360486984253, + 0.0878838524222374, + 0.04167336970567703, + -0.03845559433102608, + -0.02810010127723217, + 0.03130023181438446, + -0.024213798344135284, + 0.06855980306863785, + 0.030400993302464485, + -0.042195435613393784, + -0.014415252953767776, + 0.0565917082130909, + 0.056250497698783875, + 0.028532017022371292, + 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Reverse-Engineer\nDescription: ### **AI-Powered Reverse Engineering Assistant** \n\nBusinesses struggle to stay ahead due to long R&D cycles, high costs, and limited competitor insights. Our AI-powered reverse Engineering Assistant leverages IBM Granite AI and NLP to automate benchmarking, feature extraction, and innovation scoring, helping companies make data-driven decisions faster. \n\n### **Key Features** \n\n#### \ud83d\udd0d **Competitor Product Analysis** \n- Extracts specs, features, pricing, and feedback from manuals, reviews, patents, and datasheets. \n- Uses AI to highlight strengths, weaknesses, and innovation gaps. \n\n#### \ud83d\udcca **AI-Powered Benchmarking** \n- Compares user products against competitors to find areas for improvement. \n- Analyzes key components, pricing strategies, and market trends. \n\n#### \u2699\ufe0f **Faster R&D Through Reverse Engineering** \n- Speeds up product development by analyzing competitors in real time. \n- Reduces trial-and-error with AI-driven prototyping insights. \n- Ensures compliance by focusing on publicly available data. \n\n### **Industries That Benefit** \n\u2705 **Consumer Electronics**: Smartphones, laptops, smart devices. \n\u2705 **Automotive**: Vehicle features, safety, energy efficiency. \n\u2705 **Pharmaceuticals**: Drug formulations, medical devices. \n\u2705 **Manufacturing**: Machinery, production techniques. \n\u2705 **Software & SaaS**: AI models, cloud platforms, enterprise apps. \n\n### **Business Impact** \n\u2705 Cuts R&D time by **50%**, accelerating innovation. \n\u2705 Saves costs by providing **ready-to-use insights**. \n\u2705 Enhances market competitiveness by aligning with trends. \n\u2705 Reduces risk by avoiding investment in outdated features. \n\n### **Conclusion** \nThe AI-powered reverse Engineering Assistant helps businesses **innovate smarter** and outperform competitors. By integrating **IBM Granite AI**, it **automates competitor analysis**, making R&D **faster, smarter, and more cost-effective**. \n\n**Revolutionizing R&D with AI!** \n\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/bizintelai/reverse-engineer\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7hfehin000n357p10bolvxm/cm7bwbhvy000w356xxccpijyx_imageLink_vpzn90gq5.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.0859171524643898, + -0.010829167440533638, + 0.020979858934879303, + 0.004569510463625193, + 0.06028576195240021, + -0.043540846556425095, + -0.03224516287446022, + 0.0344141349196434, + -0.054081276059150696, + -0.020063694566488266, + -0.06874392926692963, + -0.043656960129737854, + 0.00847140047699213, + -0.02153780683875084, + -0.014639593660831451, + 0.04332207888364792, + 0.0936649963259697, + -0.007254528813064098, + 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\nDescription: \ud835\udde2\ud835\uddfa\ud835\uddfb\ud835\uddf6\ud835\uddd5\ud835\uddfc\ud835\uddfc\ud835\ude00\ud835\ude01 is an innovative, AI-powered marketing automation platform designed to revolutionize business growth. The platform leverages cutting-edge technologies to simplify complex marketing tasks and empower brands to scale effortlessly.\n\n\ud835\uddde\ud835\uddf2\ud835\ude06 \ud835\uddd9\ud835\uddf2\ud835\uddee\ud835\ude01\ud835\ude02\ud835\uddff\ud835\uddf2\ud835\ude00:\n\n \ud83d\udfe2\ud835\udddc\ud835\uddfb\ud835\ude01\ud835\uddf2\ud835\uddff\ud835\uddee\ud835\uddf0\ud835\ude01\ud835\uddf6\ud835\ude03\ud835\uddf2 \ud835\udde3\ud835\uddf6\ud835\ude01\ud835\uddf0\ud835\uddf5 \ud835\udde7\ud835\uddff\ud835\uddee\ud835\uddf6\ud835\uddfb\ud835\uddf6\ud835\uddfb\ud835\uddf4: Powered by advanced AI algorithms, providing real-time feedback to perfect your sales pitches and presentation skills\n\n\ud83d\udfe2 \ud835\uddd4\ud835\ude02\ud835\ude01\ud835\uddfc\ud835\uddfa\ud835\uddee\ud835\ude01\ud835\uddf2\ud835\uddf1 \ud835\udde6\ud835\uddd8\ud835\udde2 \ud835\uddd6\ud835\uddfc\ud835\uddfb\ud835\ude01\ud835\uddf2\ud835\uddfb\ud835\ude01 & \ud835\udddc\ud835\uddfa\ud835\uddee\ud835\uddf4\ud835\uddf2 \ud835\uddda\ud835\uddf2\ud835\uddfb\ud835\uddf2\ud835\uddff\ud835\uddee\ud835\ude01\ud835\uddf6\ud835\uddfc\ud835\uddfb: Utilizing state-of-the-art AI models to instantly create and distribute optimized posts across multiple social media channels\n\n\ud83d\udfe2 \ud835\udde6\ud835\uddfa\ud835\uddee\ud835\uddff\ud835\ude01 \ud835\udde6\ud835\uddfc\ud835\uddf0\ud835\uddf6\ud835\uddee\ud835\uddf9 \ud835\udde0\ud835\uddf2\ud835\uddf1\ud835\uddf6\ud835\uddee \ud835\udde6\ud835\uddf0\ud835\uddf5\ud835\uddf2\ud835\uddf1\ud835\ude02\ud835\uddf9\ud835\uddf2\ud835\uddff: Employing intelligent timing algorithms to seamlessly manage multi-platform posting on Facebook, X, LinkedIn, and more\n\n\ud83d\udfe2 \ud835\uddd7\ud835\ude06\ud835\uddfb\ud835\uddee\ud835\uddfa\ud835\uddf6\ud835\uddf0 \ud835\udde0\ud835\uddf2\ud835\uddfa\ud835\uddf2 \ud835\uddda\ud835\uddf2\ud835\uddfb\ud835\uddf2\ud835\uddff\ud835\uddee\ud835\ude01\ud835\uddfc\ud835\uddff: Leveraging viral content analysis to craft engaging memes that boost audience interaction and brand visibility\n\n\ud835\uddea\ud835\uddf5\ud835\uddee\ud835\ude01 \ud835\ude00\ud835\uddf2\ud835\ude01\ud835\ude00 \ud835\udde2\ud835\uddfa\ud835\uddfb\ud835\uddf6\ud835\uddd5\ud835\uddfc\ud835\uddfc\ud835\ude00\ud835\ude01 \ud835\uddee\ud835\uddfd\ud835\uddee\ud835\uddff\ud835\ude01 is its user-centric design that blends robust API integrations (\ud835\ude0e\ud835\ude30\ud835\ude30\ud835\ude28\ud835\ude2d\ud835\ude26 \ud835\ude08\ud835\ude17\ud835\ude10, \ud835\ude10\ud835\ude09\ud835\ude14'\ud835\ude34 \ud835\ude14\ud835\ude2a\ud835\ude39\ud835\ude35\ud835\ude33\ud835\ude22\ud835\ude2d \ud835\ude13\ud835\ude13\ud835\ude14, \ud835\ude1b\ud835\ude38\ud835\ude2a\ud835\ude2d\ud835\ude2a\ud835\ude30, \ud835\ude08\ud835\ude3b\ud835\ude36\ud835\ude33\ud835\ude26) with modern frameworks (FastAPI, Langchain, WebSockets) to deliver a comprehensive, scalable solution. Our platform transforms marketing challenges into growth opportunities by offering data-driven insights and seamless automation for today's competitive digital landscape. 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Among the reasons for a high number of companies closing doors, the lack of financial control is one of them. Currently solutions require finance knowledge or Excel skills, or are complicated to be used.\n\nWhatsPOS supports micro and small companies to control their finance numbers via WhatsApp, using simple text messages. WhatsPOS merges the usability, easy to access, and customer familiarity of such apps (available in more than 90% of mobile phones in several countries) with IBM Granite LLMs to organise companies' figures. It does by transforming common messages into financial statements and commands control.\n\nWhatsPOS works by translating sentences users share like \"paid 100 products\" or \"sold 400 debit\" or \"profit\", and providing graphics and analysis of the business. There is no need to use Excel software or expensive and complex finance solutions.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/oopsididitagain/whatspos\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7h8ws35000p3b6ym0irfnap/cm7dj2tp3000p3b6x8ir6a0it_imageLink_0b296044u.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + 0.011003218591213226, + 0.02922181971371174, + -0.04336555674672127, + -0.06286592036485672, + -0.04323237016797066, + 0.003816953394562006, + 0.043721918016672134, + 0.09323439747095108, + 0.08158323168754578, + 0.014011518098413944, + 0.02775818482041359, + 0.012280507013201714, + 0.006436439231038094, + 0.019504060968756676, + 0.04355669766664505, + -0.047050297260284424, + 0.03854326903820038, + -0.09481541812419891, + -0.013382941484451294, + 0.022017022594809532, + 0.07921960204839706, + -0.049442190676927567, + 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Document Processing & Analysis\n - Automated analysis of supply chain documents\n - Extraction of key information (parties, dates, terms)\n - Compliance status verification\n - Confidence scoring for extracted data\n\n2. Demand Forecasting & Planning\n - AI-powered demand prediction\n - Time series analysis with confidence intervals\n - Seasonal pattern recognition\n - Multi-model ensemble forecasting (LSTM, Random Forest)\n\n3.Inventory Optimization\n - Real-time inventory level monitoring\n - Dynamic reorder point calculation\n - Holding cost optimization\n - Stockout risk prevention\n\n4. Risk Management\n - Supply chain disruption simulation\n - Real-time risk monitoring\n - Automated mitigation strategy generation\n - Risk score calculation\n\n5. Supplier Management\n - Supplier performance tracking\n - Lead time optimization\n - Pricing analysis\n - Automated purchase order generation\n\n6. Financial Analytics\n - ROI calculation\n - Cost optimization analysis\n - Financial impact assessment\n - Budget forecasting\n\n7. Real-time Monitoring\n - Live metrics dashboard\n - WebSocket-based alerts\n - Performance monitoring\n - System health tracking\n\n8. Security Features\n - JWT-based authentication\n - Role-based access control\n - Rate limiting\n - Secure API endpoints\n\n-- Technical Capabilities\n\n1. AI Integration\n - IBM Granite 13B model integration\n - RAG (Retrieval Augmented Generation)\n - Custom AI toolchains\n - Machine learning pipelines\n\n2. Data Processing\n - Real-time data processing\n - Time series analysis\n - Statistical modeling\n - Data visualization\n\n3. Performance Optimization\n - Redis caching\n - Async operations\n - Rate limiting\n - Load balancing\n\n4. Monitoring & Logging\n - Prometheus metrics\n - Detailed logging\n - Performance tracking\n - Error handling\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/birxuo/supplygenius-pro\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7h6fuef00003572zmikb2m6/cm7h2h5dw000p3574bg1qbuby_imageLink_pgdcbi0ipl.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.05457378551363945, + -0.04206467792391777, + -0.04016422852873802, + 0.023398542776703835, + 0.0653795525431633, + 0.026559628546237946, + -0.06887149810791016, + 0.08283378183841705, + -0.09808406978845596, + 0.027871305122971535, + -0.022970357909798622, + -0.04106419160962105, + 0.02817237377166748, + -0.0048585934564471245, + 0.004306606017053127, + -0.04365815222263336, + 0.02957848645746708, + -0.09666790068149567, + 0.03048252873122692, + -0.11832964420318604, + 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Studies show that developers spend only 52 minutes per day coding, while non-coding tasks dominate their time, leading to reduced productivity and \u00a310.4 billion in annual losses.\nCodeNova is an AI-powered code assistant that automates code generation, provides intelligent debugging suggestions, and generates comprehensive documentation, significantly improving efficiency. It also offers text & voice-based code explanations and an AI Coding Partner for real-time collaboration, allowing developers to refine and understand their code effortlessly. Unlike competitors, CodeNova unifies all essential coding tools into one seamless platform.\nCodeNova is designed for software developers, tech startups, IT firms, and enterprises looking to optimize development workflows, enhance coding efficiency, and accelerate project delivery.\nCodeNova helps businesses reduce development time, minimize costs, and improve software quality, leading to faster time-to-market and higher ROI. By automating tedious tasks, companies can save millions annually on development costs by reducing manual labor, debugging time, and inefficiencies. With improved accuracy and seamless collaboration, businesses can scale operations efficiently, allowing teams to focus on innovation rather than repetitive tasks. \nBuilt using IBM Granite AI models, Google Gemini Pro, Google Text-to-Speech(TTS), and deployed with Streamlit, CodeNova reduces workload, improves accuracy, and enables seamless collaboration. 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content into professional, visually appealing slides. Leveraging AI-driven text processing, smart template generation, and automated image retrieval, the tool optimizes layouts, fonts, and media to enhance engagement. It integrates Granite Embeddings for image search, querying Unsplash, Pexels, and HD datasets to match visuals with content. An AI agent autonomously designs slide templates, ensuring consistency and professional aesthetics. This eliminates the tedious manual effort of formatting, making it ideal for students, professionals, and educators. The result is a fully customizable, editable PPT that\u2019s ready to present in seconds. The project is carefully crafted in such a way that it can easily be transformed into a generator that can build anything, documents, images etc.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/space-cat/genesis-ai\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7gzvtfn00003b6vj39q1365/cm7gzu7eu000p3b6vzv2kdvfj_imageLink_11b5k503xk.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.09134682267904282, + 0.07320654392242432, + 0.0370752178132534, + 0.02291659638285637, + 0.021106673404574394, + 0.01962457410991192, + -0.02817460522055626, + 0.021940307691693306, + -4.979745426680893e-05, + -0.012291266582906246, + -0.07202037423849106, + 0.048548005521297455, + 0.03214923292398453, + 0.0491737462580204, + -0.02428927645087242, + 0.03413694351911545, + 0.04748943820595741, + 0.06069361791014671, + 0.008219702169299126, + 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Built on Streamlit, it harnesses IBM Granite to deliver targeted lead generation and to craft comprehensive business plans. Users can filter LinkedIn profiles by country, industry, and company to extract vital information such as names, locations, positions, and more. The app supports seamless data export in CSV and PDF formats and maintains a detailed history of past sessions for future reference. Additionally, LeadGenAI\u2019s AI-powered business optimization feature provides actionable insights, including market analysis, revenue models, and strategic recommendations. This integration of advanced AI technology with user-friendly functionality makes LeadGenAI an essential tool for modern business growth.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/dreameater-next/leadgenai\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7gzb6wx000p206nuowjwcht/cm73lhfua000v206mpneci1nu_imageLink_rxlwef0in4.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.08033596724271774, + 0.02867797389626503, + -0.06885367631912231, + -0.00016927937394939363, + 0.027566727250814438, + 0.07793620228767395, + -0.0294352974742651, + 0.046285830438137054, + -0.09497596323490143, + -0.024804506450891495, + -0.07352755963802338, + -0.007590610999614, + 0.023222096264362335, + -0.040369559079408646, + 0.008175831288099289, + 0.02600421942770481, + -0.035163331776857376, + -0.012469803914427757, + -0.01734468713402748, + 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The system, leveraging IBM's Granite AI model, streamlines patient interactions and clinical workflows. For patients, it simplifies appointment booking and provides tailored pre-appointment instructions, including restriction management. For doctors, it consolidates patient data into easily digestible summaries and automates the laborious process of documenting patient encounters. Real-time conversation recording and transcription, coupled with AI-driven summarization, drastically reduces note-taking time. Furthermore, the system generates comprehensive SOAP handouts and referral letters from these summaries, freeing up valuable time for direct patient care. This comprehensive approach minimizes manual data entry and document creation, enabling doctors to focus on diagnosis and treatment, thereby enhancing overall efficiency and patient satisfaction within the medical practice.\n\nSee at https://mediscribe-alpha.vercel.app/\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/euler/mediscribe\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7gyvw4q000o3b6xs7k6p5qs/cm79tjish000p3b6xpi7ztv6x_imageLink_5047440inz.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.07104209065437317, + 0.02973363921046257, + -0.021651040762662888, + -0.06083398312330246, + -0.07127510011196136, + 0.006924779154360294, + 0.0397719070315361, + 0.1119360700249672, + 0.042622942477464676, + -0.05050384998321533, + -0.10286951065063477, + 0.03864206373691559, + 0.013358676806092262, + 0.0016891455743461847, + 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OCT4LLM\nDescription: Fine-Tuning Platform for Large Language Models\n\nOverview:\n\nThe rapid advancement of large language models (LLMs) has opened new possibilities for AI-driven applications, but fine-tuning these models remains complex, resource-intensive, and often limited to structured data. Our platform is designed to simplify and streamline LLM fine-tuning, enabling businesses and developers to customize models effortlessly. With built-in support for both structured and unstructured data, our solution eliminates the need for extensive pre-processing, making AI training more accessible and efficient.\n\nKey Features:\n\n- One-Click Training & Deployment \u2013 Simplifies the fine-tuning process, allowing users to train and deploy models with minimal effort.\n- Unstructured Data Integration \u2013 Converts raw data into structured formats, eliminating a major barrier to model training.\n- Custom Training Parameters \u2013 Provides greater flexibility in adjusting training settings to meet specific business needs.\n- Optimized Model Performance \u2013 Enhances efficiency through advanced techniques such as quantization and model optimization.\n\nWhy Fine-Tuning Matters for Businesses?\n\nFine-tuning LLMs allows businesses to develop AI models tailored to their specific industry and operational needs. This leads to:\n- Improved Customer Interactions \u2013 Fine-tuned models power intelligent chatbots capable of delivering domain-specific, context-aware responses.\n- Automated Content Processing \u2013 Enables efficient classification, sentiment analysis, and categorization of vast amounts of data.\n- Enhanced Business Intelligence \u2013 Helps organizations extract valuable insights from data, improving decision-making and efficiency.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/phantom/oct4llm\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7gq4zfu000p356xs3ro1f5v/cm7fn436l000o357dqmovdwkf_imageLink_wc3zg0g8p.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.023172473534941673, + -0.03645911440253258, + 0.018620144575834274, + 0.02902344986796379, + 0.016530413180589676, + -0.021935060620307922, + -0.02297496795654297, + 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They spend billions of dollars each year trying to modernise their codebases, in a process that is often manual, slow and expensive (projects may cost $2M+ and take 6-16 months to complete).\n\nIt\u2019s possible to transpile COBOL to Java using off-the-shelf tools which preserve semantics but produce illegible, unmaintainable code. Our innovation is the ability to use AI to guide the incremental application of small, provably-correct code transformations to make the code readable and maintainable without affecting its execution semantics. We generate these transformations with an LLM, but then prove them correct ahead of time, gradually building a huge repository of validated transforms. We\u2019ll can sell this as a service to existing consultancies that work in the space or work with clients directly ourselves.\n\nOver time, we can apply the same approach to new use cases. We could help companies move from C to Rust to comply with CISA cybersecurity recommendations. Alternatively, we can use these LLM-guided techniques within a language like CUDA to improve performance rather than maintainability. In the general case, our technology can be applied to refactor and improve any code with correctness guarantees not provided by existing LLM methods, presenting opportunities for better AI-generated code in any domain.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/validly/validly-modern-day-code-modernisation\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7gq48z6000p286rj078ew26/cm7btpccs000s286remx6w4a7_imageLink_oa7dkn0icb.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.122149258852005, + 0.02838902734220028, + -0.05044684186577797, + -0.07935537397861481, + -0.025825778022408485, + -0.06670193374156952, + -0.03799347206950188, + 0.0575728565454483, + -0.06728404015302658, + -0.03813925385475159, + -0.06973063945770264, + -0.032835930585861206, + 0.029678208753466606, + 0.01204595435410738, + 0.003237473778426647, + 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analysis and opportunity detection tool designed to transform the way businesses, investors, and startups make strategic decisions. By leveraging real-time data from news, social media, and industry reports, the app uses IBM Watson Discovery and Granite RAG to retrieve, filter, and summarize key market insights. This solution addresses the challenge of information overload in dynamic markets by delivering concise, actionable trends and opportunities before they become mainstream. With a user-friendly dashboard, TrendForge AI offers intuitive visualizations and predictive analytics, ensuring that users can quickly adapt and pivot their strategies. Its scalability and robust technology make it a critical asset in today\u2019s fast-paced digital landscape\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/trendforge-ai/trendforge-ai-market-opportunity-detector\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7gnm5pb0000356yv05ek1fv/cm7fx5ehr000r356yl2qbtlnf_imageLink_p17nuo0qvy.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.036581702530384064, + -0.018155740574002266, + -0.04371417686343193, + 0.03347457945346832, + 0.09344478696584702, + 0.0019034793367609382, + -0.008909373544156551, + -0.024150721728801727, + 0.01007100660353899, + -0.05436960607767105, + -0.07246405631303787, + 0.030437277629971504, + 0.021846888586878777, + 0.05200238898396492, + -0.012579211965203285, + 0.0033531945664435625, + -0.04049233719706535, + -0.08378755301237106, + 0.005992375314235687, + 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their workflows. Traditional process audits can be time-consuming, subjective, and costly. WorkwiseAI automates this process, delivering real-time, AI-driven workflow analysis that enhances decision-making. \n\nUse cases of IBM Services have seen success, including Vodafone, which reduced testing timelines to 1 minute and Artefact, which uses a portfolio of personas represented by AI identities, allowing professionals to reveal crucial insights from customer behavior.\n\nBuilt on IBM\u2019s open source granite-3.1-8b-instruct powered by IBM AgentLab, WorkwiseAI provides businesses with deep workflow insights, data-driven efficiency scoring, and AI-generated optimization strategies.\n\nAt the core of WorkwiseAI is a custom 'S3' Agent Pipeline that orchestrates three AI-powered agents and IBM Vector Index document grounding to streamline workflow analysis:\n\nSummarizer Agent: Breaks down complex business processes into distinct, numbered steps, identifying inefficiencies based on structured business context data.\nScorer Agent: Critically evaluates each workflow step, assigning efficiency scores using industry-relevant metrics and a custom scoring model.\nSuggester Agent: Leverages tools to access external knowledge sources such as Wikipedia, DuckDuckGo, and retrieval-augmented generation (RAG) queries to provide actionable improvements for each workflow step.\n\nThe prototype also enables interactive Workflow Visualization: clean structured insights from large data through intuitive Streamlit dashboard widgets.\nMulti-Language Chatbot Interface: Allows for seamless interaction with WorkwiseAI across different business environments.\n\nBy harnessing IBM\u2019s advanced AI ecosystem, WorkwiseAI empowers organizations to transform workflow management, ensuring agility, competitiveness, and sustainable growth.\n\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/workwiseai/workwiseai\nImage: 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It's not just a simple RAG model integrated into a website; Ask Alvi combines the power of large language models (LLMs) with innovative features to deliver a seamless, interactive search experience.\n\nWebsite: Simply type a question, and Ask Alvi gathers relevant sources from across the internet. It provides direct links, related images, and videos, ensuring users access everything they need in one place. The AI then generates structured, well-organized responses, citing its sources for transparency.\n\nDiscord and Telegram Bots: Ask Alvi's bots allow users to query AI directly in their group chats using the @askalvi command. Whether for a quick answer or collaboration in a project, the bots generate AI-powered responses and provide reliable sources to verify information.\n\nKey Features:\n\nMultiplatform Support: Available on web, Discord, and Telegram, enabling users to query AI across communication platforms.\nRAG-Based Retrieval & LLM Integration: Combines search and AI-generated content for more accurate, detailed responses.\nMultimedia Integration: Provides relevant images and videos along with textual answers.\nSemantic Caching & Function Calling: Reduces response time and allows external actions based on queries.\nCited Sources & Follow-Up Suggestions: Ensures credibility and encourages further exploration.\nAsk Alvi transforms the way users access and interact with information, offering a fast, efficient, and user-friendly solution for personal, educational, and professional use.\nUrl: 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A Clean, Minimalist Interface designed based on user feedback for a simple, intuitive experience. Comprehensive Analysis, which ranks sources by credibility, providing a Trust Score, source information, and detailed analysis. And a Privacy-First Approach, ensuring your queries remain private and secure, with a history of recent fact checks for easy review.\n\nTechnology and Development\n\nVerifyIt's development leveraged cutting-edge technologies. Google's Custom Search API and Programmable Search Engine aided information retrieval. Granite3.1-moe (IBM's long-context mixture of experts model) was used for low-latency content truthfulness evaluation.\n\nThe frontend uses HTML5 and Bootstrap CSS for a responsive design, with JavaScript for a dynamic user experience. The backend utilizes a Flask API for robust processing and asynchronous request handling. Crawl4AI (a web scraping framework) and Granite (with customized prompt templates) contribute to advanced content analysis. Chrome's Local Storage ensures user search history is stored and accessible.\nTechnical Innovations\n\nVerifyIt incorporates unique innovations: Adaptive Search Query Generation dynamically creates contextual search queries. Intelligent Content Analysis uses AI to understand nuanced information. The Secure, Lightweight Extension minimizes performance overhead for a smooth browsing experience.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/nooglers/verifyit-verify-truth-in-an-instant\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7gcve9b000p286m050egbvr/cm79i7hjm0014356zydkoexv1_imageLink_1dcssf03n1.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.1829967498779297, + 0.02818617783486843, + -0.048424649983644485, + 0.0730205848813057, + 0.11824493110179901, + -0.11770994961261749, + 0.0006757231894880533, + -0.01830936409533024, + -0.05522292107343674, + -0.04538426920771599, + -0.0035129624884575605, + -0.0239408016204834, + 0.07351651787757874, + -0.0024467813782393932, + -0.013500802218914032, + -0.015371778979897499, + 0.11030202358961105, + 0.05634741112589836, + -0.03813960403203964, + -0.1060691624879837, + 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effects of climate change.\nSolution: an intelligent assistant that: generates text, creates code, explains code and guides users on which appropriate Granite model to use for various tasks.\nTarget audience: hospitals, pharmaceutical firms and organizations that focus on climate.\nThe unique feature are integration of other IBM applications such as Cognos analytics which analyses the views of using different Granite models.\nWe are also using data from the IBM Environmental Intelligence Suite for collecting weather data which provide insights about the climate.\nThe benefits of the solution is that doctors would be able to make accurate prescriptions while taking into account environmental factors.\nAnother benefit would be pharmacists would be able to offer advice on storage conditions of their medication by examining surrounding environments such as extreme heat which could affect performance of their medications. \nLastly, climate scientists would have the capability of analyzing weather reports more accurately.\nOur project focuses on mitigating effects of climate change by use of IBM technologies such as Watsonx and Cognos analytics.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/grindite/addressing-climate-change-impact-on-health\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7g03n70000n356yunwl30ss/cm7df50d5000j356x01s45vfv_imageLink_t36ke0srh.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.06358925998210907, + 0.05660802125930786, + 0.04167034476995468, + 0.021374894306063652, + -0.008768529631197453, + -0.039145611226558685, + -0.01651110127568245, + 0.038998667150735855, + -0.053258493542671204, + 0.001672799582593143, + -0.07126053422689438, + -0.0644073411822319, + 0.08828454464673996, + 0.04244595393538475, + -0.042765773832798004, + 0.04131262004375458, + 0.013210120610892773, + 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detection system leveraging IBM Granite 3.1 and RAG to analyze security logs, detect anomalies, generate automated security reports, and suggest mitigation strategies. Designed for enterprise use with Linux CLI or web dashboard deployment.\nOur solution addresses the growing complexity of cybersecurity threats by integrating AI-driven analytics to identify patterns in vast security datasets. Using IBM Granite 3.1\u2019s advanced NLP capabilities, we provide real-time threat intelligence, anomaly detection, and automated response recommendations. The system processes structured and unstructured data, ensuring compliance and scalability. With seamless integration into existing security frameworks, enterprises can enhance their cyber defense strategies efficiently. This solution ingests logs from various sources, cleans and normalizes the data, and applies AI-based threat detection to uncover malicious activities. It offers a high level of automation in generating security alerts and providing recommendations, reducing the workload on security teams. The RAG-based approach ensures that past incidents and security patterns inform new threat analysis, continuously improving the system\u2019s accuracy. The project includes a user-friendly interface, either as a command-line tool for system administrators or a web dashboard for broader enterprise usability. The AI-driven system not only detects threats but also provides predictive analytics to forecast potential cyberattacks before they occur. Enterprises can leverage this technology to strengthen their security postures, minimize breaches, and improve incident response times.\nThe deployment is designed for scalability and efficiency, our cybersecurity system offers an advanced approach to enterprise security, ensuring businesses stay ahead of evolving cyber threats.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/cyber-howl/ai-powered-cybersecurity-threat-detection\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7fvuru600003972uwzvyw7u/cm7dm22od0000397rh921ykdg_imageLink_9da97g072j.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.07155852764844894, + 0.0003332765190862119, + -0.07181654870510101, + 0.001210893620736897, + 0.06865210086107254, + -0.018971841782331467, + 0.06547218561172485, + -0.015364257618784904, + -0.011872384697198868, + 0.0022026195656508207, + 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Our platform leverages advanced natural language processing to create a seamless bridge between business users and their structured data repositories.\n\nOur solution is built on a sophisticated architecture powered by WatsonX and the Granite-3.1-8b-instruct model. This foundation enables KNAI to automatically understand database schemas, transforming natural language questions into precise, optimized SQL queries. The system implements intelligent filtering and maintains contextual awareness, ensuring each interaction builds upon previous queries for more meaningful insights.\nKNAI stands out through its comprehensive approach to data democratization. Beyond translating questions into queries, it incorporates advanced features like automatic query validation, prompt engineering optimization, and persistent conversation history. This ensures accurate results while maintaining complete transparency of the query generation process.\n\nOrganizations implementing KNAI have seen substantial improvements in their data analysis capabilities, with projected metrics showing a 75% reduction in analysis time, 90% decrease in query errors, and 60% increase in decision-making speed. This efficiency translates to improved business outcomes and a projected 3x ROI in the first year.\n\nFor technical teams, KNAI offers robust integration through its API, hosted on IBM Code Engine, with PostgreSQL for structured storage and Redis for conversation management. For business users, it provides an intuitive interface that makes complex data analysis as simple as having a conversation.\n\nBy eliminating traditional barriers between business users and their data, KNAI enables organizations to make more informed decisions faster, unlock hidden insights, and drive innovation across all levels.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/42/knaii\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7fugrf600003j70cjrojqxb/cm73a2qcw00123j70gr9g041f_imageLink_caagwe03hq.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.04966352507472038, + 0.03159469738602638, + 0.0033583908807486296, + 0.02876211516559124, + -0.034560225903987885, + -0.050074052065610886, + 0.028216425329446793, + -0.033093832433223724, + -0.02147826924920082, + -0.02169201523065567, + -0.08241594582796097, + -0.05832210183143616, 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Built using Next.js for the frontend and FastAPI for the backend, DevDocs leverages Ollama to orchestrate the IBM Granite 3.1 Dense 2B model, ensuring accurate and context-aware documentation.\n\nThe application offers a seamless experience, allowing users to log in securely using GitHub OAuth and select repositories for documentation. DevDocs retrieves relevant code files using the GitHub API without cloning the repository, ensuring efficient processing. The AI model then generates comprehensive documentation, which users can review through an intuitive chat interface. Users can provide feedback, and the model updates the content in real time. Once approved, the final documentation is committed back to the repository with a single click.\n\nBy automating the documentation process and enabling interactive feedback loops, DevDocs saves developers time and ensures projects remain well-documented and accessible.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/codemyth/devdocs\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7fu03dm00002v6zuyy5n5f0/cm7c12gc900be2v6xckf4wa91_imageLink_g63lsa0ijk.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.11263881623744965, + -0.07350250333547592, + -0.005602036602795124, + 0.021541520953178406, + 0.07583746314048767, + -0.11514100432395935, + -0.06447014957666397, + 0.038530368357896805, + 0.06925036013126373, + 0.048600684851408005, + -0.03969955071806908, + -0.04102721065282822, + 0.004126504994928837, + -0.03835362568497658, + 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HIRE-AI\nDescription: HIRE-AI streamlines recruitment processes by using using AI to conduct 3 stages of the interview process:\n Resume Analysis->Uses OCR to analyse the resume based on its relevance to the job description set by the company\n ->To avoid ambiguity, hallucination and improper decision it works by grading each section of the resume against\n the job description like experience, relevant experience, education etc and then grade it by finding the weighted score of the \n resume to decide if the candidate is fit for the corresponding job description\n System design-> Simulate a real life system design interview using ibm speech-to-text to understand interviewee thought process to be able to \n nudge the interviewee in the right direction using RAG to bring up old system interview questions and the related next \n questions to understand the user thoughts and then quantify them\n Behavioral Analysis-> using AI and chain of thought to break down user answers to be able to quanitfy if interviewee has the spirit and the \n ideology required by the company\n This entire process is fair and transparent and clearly mentions the weightages and scores of the interviewees performance to promote \n fairness and truly eliminate bias. Also includes reasoning by the AI to explain why it determined a certain score to justify it's assessment\n\n\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/hiremax/hire-ai\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7ftcrtx000q3b72stw55wpv/cm7ft0hpg000p3b72lfvgin25_imageLink_libm89036o.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.1301000863313675, + 0.08616171032190323, + -0.05171899124979973, + 0.01619235798716545, + 0.038373202085494995, + 0.029348136857151985, + 0.0572124645113945, + 0.02988605387508869, + -0.027918752282857895, + -0.04175650700926781, + -0.09179743379354477, + -0.07512547075748444, + 0.0449778214097023, + -0.01792231947183609, + -0.037742920219898224, + 0.02226671203970909, + 0.050283387303352356, + 0.037614606320858, + -0.02438109740614891, + -0.05757082253694534, + 0.04832765832543373, + 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every employee across any role in the organization. By transforming a single employee into two - one physical and one virtual expert - it effectively doubles your workforce capacity without increasing headcount.\nFrom developers coding in different languages to HR professionals and executives, DualForce creates role-specific expert twins through vectorizing authoritative resources. For developers, it uses programming books and documentation; for HR, policy handbooks; for executives, leadership resources.\nConsider a typical Android development team with 4 junior developers and 1 senior developer. Traditionally, all junior developers direct their queries to the senior developer, creating a bottleneck that reduces overall team productivity and delays project timelines. DualForce solves this by providing each junior developer with their own AI mentor, trained on authoritative resources specific to their tech stack.\n\nDualForce uses Generative AI with RAG (Retrieval-Augmented Generation) technology to ground responses in authoritative sources, reducing hallucinations and increasing accuracy. With conversation memory, it provides contextually relevant assistance based on previous interactions.\n\nThe system:\n1. Understands employee's domain and required expertise\n2. Creates role-specific AI mentors using curated resources\n3. Uses RAG for verified, accurate responses\n4. Maintains conversation context for better assistance\n5. Adapts to any professional role\n\nBenefits:\n24/7 instant expert guidance\nReduced senior staff bottlenecks\nDoubled productivity without doubled costs\nDomain-specific accurate solutions\nSeamless knowledge access\n\nDualForce transforms teams through reliable, context-aware Generative AI technology, making expert knowledge accessible while maximizing workforce efficiency.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/kaizoku/dualforce-double-workforce-with-same-headcount\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7ftcf7v000p356xmy0bialr/cm7a9w8dh000y356xb9mfmg7e_imageLink_h54y760ft4.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.07107781618833542, + -0.03354351967573166, + 0.004340468905866146, + -0.027098529040813446, + 0.004724945407360792, + -0.029291315004229546, + -0.040953923016786575, + 0.0431615374982357, + 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Energy Consumption Tracking: Displaying personal energy usage and estimated energy consumption to raise awareness and encourage users to adopt more sustainable habits.\n2. Green Energy Alignment: Aligning power consumption with green energy sources to reduce carbon footprint.\n3. Chatbot Integration: Utilizing IBM Watson Assistant (formerly known as IBM Granite) to provide users with a conversational interface for:\nExplaining rate options and plans, Offering guidance on optimal times to use electric vehicles (EVs),Providing personalized energy-saving recommendations\n\nThe app can be expanded to both residential and commercial customer to have a consolidate view of multiple consumption points, solar generation, battery storage etc. \nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/energyai/intelligent-energy-tracking\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7fpo8zr000p356y34w9ycyw/cm7et4kc9001e3572j2xaw2gi_imageLink_oqd72y03w7.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.08088605105876923, + 0.03502204269170761, + 0.021716931834816933, + 0.053008660674095154, + 0.07238247990608215, + 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Manual sorting leads to inefficiencies, delays, and dissatisfied customers. PriorityAI automates ticket classification using IBM Granite AI, NLP-based sentiment analysis, and keyword detection to determine priority levels (High, Medium, Low).\n\nThis system ensures that the most critical issues receive immediate attention, reducing customer frustration and optimizing support team efficiency. PriorityAI is built with FastAPI for backend processing and can be integrated into existing ticketing systems through a simple API.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/semantics/priorityai\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7fanbiw003y356yu211cazh/cm71lw7b8001o356xup66j8f9_imageLink_2cig0df6.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.0663861483335495, + -0.0036044504959136248, + 0.0008375991601496935, + -0.037527211010456085, + -0.01314037200063467, + 0.0013686115853488445, + 0.04857644811272621, + -0.00635985191911459, + -0.055202633142471313, + 0.027083521708846092, + 0.02001830004155636, + -0.016368316486477852, + 0.010576272383332253, + 0.04335543513298035, + 0.02106400951743126, + -0.013654510490596294, + 0.049460235983133316, + -0.0490034855902195, + -0.1092371791601181, + -0.08209551125764847, 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regulatory non-compliance. Without proper governance, these systems may make unfair\nor non-transparent decisions, leading to legal and reputational issues.\nSolution\nThe AI Governance Framework integrates IBM Granite models with the BeeAI framework\nto create a trustworthy AI system for automated yet accountable loan approvals. It employs\ngovernance agents to detect bias, ensure ethical alignment, and audit regulatory compliance.\nA human-AI collaboration layer allows manual intervention when necessary.\nTarget Audience\nFinancial institutions, fintech companies, and enterprises seeking automated, fair, and compliant AI-driven decision-making.\nUnique Features and Benefits\n\u2022 Multi-layered governance incorporating safety, ethics, compliance, and human oversight\n\u2022 AI-powered decision-making using IBM Granite for intelligent and explainable outputs\n\u2022 Structured auditing to ensure legal and ethical accountability\n\u2022 Seamless integration with a modular and scalable design for businesses\nThis solution enhances trust, efficiency, and fairness, ensuring AI operates transparently and\nresponsibly.\n\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/data-scientists-cic-italy/ai-governance-framework-self-auditing-financial\nImage: 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Powered by IBM Granite, this assistant analyzes contract documents to identify potential risks, compliance issues, ambiguous terms, and key clauses that may impact legal and business decisions.\n\nUsers can upload a PDF contract, and the AI will perform a detailed analysis, highlighting areas of concern such as legal pitfalls, operational risks, and clauses that may lead to disputes. The tool ensures faster contract reviews, reduces manual effort, and provides actionable insights to help legal teams and businesses make informed decisions.\n\nWith an intuitive Streamlit-based interface, users can fine-tune AI settings like token limit, sampling parameters, and creativity levels to customize their analysis. Whether you are a lawyer, business owner, or compliance officer, the Contract Analysis Assistant simplifies complex contract analysis, making legal document review more efficient and accessible.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/granitebyte/contract-analysis-assistant\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7f643sh0000356y3p509824/cm7f59ylw000p357kg2nupoqq_imageLink_11da1f03o5.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.11697658151388168, + 0.08917230367660522, + -0.07294785231351852, + -0.03117501735687256, + -0.036328405141830444, + 0.048419006168842316, + 0.00817454420030117, + 0.05661154165863991, + 0.03490988910198212, + 0.03371642902493477, + -0.08687948435544968, + -0.004674567375332117, + -0.009083627723157406, + 0.04965505003929138, + -0.03369894623756409, + 0.0684145912528038, + 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for Clusters\nDescription: Our solution is aimed at making troubleshooting in an automated manner and needing less human interaction by providing multiple agents installed on different components. Our design is as follows: The agent named Controller Agent is overseer and planner for other agents. Worker agents receive plans as prompts from Controller agent and they are tasked with executing the plan using appropriate commands on their respective server. Commands can range from collecting logs to executing network commands. Agents are not responding to unrelated prompts such as \"What is the Scr\u00f6dinger Equation?\" via specially crafted instructions to prevent answering unrelated prompts. \n\nOur solution can be effective in shorten troubleshooting of commonly faced problems in IT by AI agents capable of solving those problems. It is designed as to have little-to-no user interaction. Furthermore, future plan includes adding real-time monitoring to predict and prevent future issues by constantly feeding cluster metrics into Controller Agent and AI-driven capacity planning.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/theproviders/multi-agent-ai-driven-troubleshooting-for-clusters\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7f1k0fp0000356y11ixebdi/cm7byalq1000mx3irwsk5x60c_imageLink_tq83l40qjy.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + 0.008233964443206787, + -0.02829624153673649, + -0.04718874767422676, + 0.09054993093013763, + 0.033819083124399185, + -0.005299984011799097, + -0.02128242515027523, + -0.007613334339112043, + -0.041762370616197586, + 0.03301570564508438, + -0.03239521384239197, + -0.1352066844701767, + 0.023424610495567322, + 0.031271014362573624, + -0.029150569811463356, + 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software development. By automating the creation of project overviews, design plans, and implementation plans, this application enables developers to rapidly transition from conceptualization to execution. This is particularly valuable for small development teams and teams striving for maximum efficiency, as it allows them to focus their limited resources on core development tasks rather than getting bogged down in extensive planning and documentation.\n\nKey Features:\nOverview Generation:\nThe application takes a project title and description as input and generates a comprehensive project overview. This overview includes critical elements such as the project's purpose and goals, key features, target audience, competitive analysis, and success criteria. This feature ensures that all stakeholders have a clear and aligned understanding of the project's scope and objectives from the outset.\n\nDesign Generation:\nBuilding upon the generated project overview, the application creates a detailed design plan. This plan outlines the system architecture, database design, API design, UI/UX considerations, scalability and performance strategies, integration points, and deployment architecture. By automating this process, developers can quickly establish a robust architectural foundation, mitigating the risk of costly design flaws later in the development lifecycle. \n\nImplementation Plan Generation:\nThe application extends its capabilities by generating an implementation plan based on the design plan. This includes specifying the technology stack, directory structure, file structure, and necessary modules for coding the project. This feature provides a clear roadmap for the development team, ensuring consistency and efficiency throughout the implementation phase.\n\nTechnologies Used:\nPython\nGradio\nIBM Watsonx API\npython-dotenv\nRequests\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/sologunner/ai-powered-project-planner\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7f1d8mu0000356zyezl95sr/cm7ezgu13000p356y35ic7fym_imageLink_kg2zx00ici.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.03701741248369217, + 0.08299972862005234, + -0.006639090366661549, + 0.0487070307135582, + 0.04160256311297417, + -0.017851078882813454, + -0.04228508472442627, + 0.06711243093013763, + -0.014593158848583698, + 0.0019234969513490796, + -0.1102973148226738, + -0.13170334696769714, + 0.06400416791439056, + 0.004254141356796026, + -0.02253093384206295, + 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AdvancedLeadsGeneration-AI\nDescription: AdvancedLeadsGeneration-AI goes beyond existing lead generation solutions by introducing AI-driven agent discussions that critically evaluate potential clients. Unlike traditional systems that rely on predefined scoring models or simple CRM-based analytics, this solution simulates real-world business negotiations. Two AI agents engage in dynamic debates\u2014one advocating for a lead while the other raises potential concerns\u2014ensuring a comprehensive and unbiased assessment.\n\nWhat makes this project a crucial asset for lead generation is its ability to go a step further: it doesn\u2019t just identify potential clients but actively discusses and judges businesses based on a company's specific sales strategy and historical data. By analyzing past successful deals and client interactions, the system refines its decision-making process, aligning lead evaluation with actual business goals.\n\nBuilt with Next.js, FastAPI, and IBM Watson AI, this solution seamlessly integrates with existing sales pipelines, offering a scalable, automated, and intelligent approach to lead qualification. This innovation not only saves time but also optimizes sales efforts, improves conversion rates, and enhances business decision-making with AI-driven insights.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/polyens/advancedleadsgeneration-ai\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7f1d4qm000c356xbvwqlmuz/cm6z6l6ob000n356xpfihbx3s_imageLink_ep2l6l0i4s.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.0788026973605156, + 0.016029952093958855, + -0.06503292173147202, + -0.003209041664376855, + -0.028079047799110413, + 0.05171996355056763, + -0.04128854721784592, + 0.014006518758833408, + 0.02567043900489807, + -0.066407710313797, + -0.0795750766992569, + -0.019935375079512596, + 0.043640874326229095, + 0.018423613160848618, + 0.029333874583244324, + 0.0407792292535305, + 0.0014315873850136995, + -0.05911942571401596, + 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facing a legal challenge but surrounded by barriers. The nearest legal aid center is 45 kilometers away, legal fees exceed her monthly income, and she fears social stigma. Her story echoes across Pakistan, where 85% of women face similar barriers in accessing legal support.\nThe numbers tell a heartbreaking story - only 1 in 3 women experiencing abuse seeks legal help, 68% of rural cases go unreported, and with legal consultation costing PKR 10,000-15,000, justice remains out of reach for many. When you add that only 39% of women have internet access and the female literacy rate is 42.7%, the challenge becomes even more daunting.\nProject Hifazat steps in as a digital guardian, combining IBM's Granite AI technology with deep cultural understanding. At its heart lies the IBM Granite-3-8b-instruct model, carefully molded to understand not just legal language, but Pakistani society's nuances. Paired with the Granite-embedding:278m multilingual model, our system breaks down all barriers, offering support to pakistani females.\nUnlike typical legal AI systems, Project Hifazat acts as a culturally-aware legal companion. When Amna shared her property rights case, our system immediately provided legal information accordingly, offered confidential guidance, connected her with support services (locally), and gave step-by-step documentation guidance.\nThe magic happens through our innovative use of IBM's Granite models. The 8B language model brings legal expertise with cultural sensitivity, while the multilingual embedding model ensures women can express concerns in their preferred language. This isn't just translation - it's about understanding context, emotion, and urgency.\nWith this, we'll help rural women understand property rights, working women address harassment, and mothers navigate family law. Looking ahead, we'll work on court system integration, expanding language support, and enhancing mobile accessibility.\nUrl: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite/project-hifazat/project-hifazat-ai-powered-legal-aid-for-women\nImage: https://storage.googleapis.com/lablab-static-eu/images/submissions/cm7f0puh20000356yx4bm4wu6/cm7erhpcj0000357fakx6b1f9_imageLink_9jk9u0i61.jpg\nEvent: Generative AI Hackathon with IBM Granite\nEvent Url: https://lablab.ai/event/generative-ai-hackathon-with-ibm-granite", + "embedding": [ + -0.028345562517642975, + 0.04578080028295517, + -0.05980881676077843, + -0.044626832008361816, + -0.013566051609814167, + -0.011446851305663586, + -0.02169843018054962, + 0.021279720589518547, + 0.015212147496640682, + 0.04326615482568741, + -0.02471545711159706, + -0.015738699585199356, + 0.07116322219371796, + 0.005790832918137312, + 0.0594024732708931, + 0.018568504601716995, + 0.0582488551735878, + -0.035137809813022614, + 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analyze various types of documents, including PDFs, images (JPG, PNG), and text files. It extracts text using OCR, segments content into meaningful chunks, and processes the data using Granite Guardian for insights and categorization. The platform also integrates a database to maintain a processing history, allowing users to review past analyses.\n\nKey Features:\n\u2705 OCR & Text Extraction \u2013 Supports PDFs, scanned images, and text files.\n\u2705 Granite Guardian AI \u2013 Uses IBM Granite models for document summarization, classification, and analysis.\n\u2705 Chunk-Based Processing \u2013 Breaks large documents into smaller sections for better AI comprehension.\n\u2705 Historical Data Storage \u2013 Saves past document analyses in an SQLite database for easy retrieval.\n\u2705 User-Friendly Interface \u2013 Built with Gradio for seamless document uploads and result visualization.\n\nThis AI-powered system is ideal for businesses, researchers, and professionals looking to automate document insights and data extraction with IBM Granite's robust AI capabilities. \ud83d\ude80\nUrl: 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