Maheswari Pinneti

I'm passionate about applying Deep Learning to real-world problems — especially in the fields of Healthcare, NLP, and Explainable AI. 🧠 Interests: - Computer Vision – Chest X-ray Disease Classification with Grad-CAM Explainability using DenseNet-121 & TensorFlow - Natural Language Processing – Blog Summarization Tool using Hugging Face Transformers (DistilBART/T5) - Fake Media Detection – Deepfake Face Detection using CNN + LSTM architecture - AI for Legal Tech – Court Case Scraper App using Selenium + AI-based analysis - Generative AI – Exploring Databricks’ GenAI models and Applied AI from WorldQuant University - Explainability – Creating transparent AI solutions with interpretability techniques 🛠 Tools & Frameworks: TensorFlow · PyTorch · Hugging Face · Scikit-learn · OpenCV · Flask · Streamlit · SQL 💡 Long-Term Goal: Design intuitive AI-powered interfaces that are transparent, accessible, and impactful for everyone — especially in healthcare, law, and education.