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---
title: Resume Screener and Skill Extractor
emoji: 📄
colorFrom: blue
colorTo: green
sdk: streamlit
sdk_version: 1.31.0
app_file: app.py
pinned: false
license: mit
---
# Resume Screener and Skill Extractor
A comprehensive application for analyzing resumes, matching them to job positions, and providing personalized career advice.
## Features
- **Skill Extraction**: Identifies relevant skills for specific job positions
- **Resume Summarization**: Generates concise summaries of candidate backgrounds
- **Skill Gap Analysis**: Identifies missing skills for target roles
- **Career Advice**: Provides personalized recommendations for skill development and projects
- **Experience Analysis**: Analyzes work history and career progression
- **Fraud Detection**: Flags potential inconsistencies for verification
## Installation
### Fix Dependencies (Recommended)
If you encounter any dependency issues, run the dependency fixer script:
```bash
python fix_dependencies.py
```
This will install compatible versions of all required packages.
### Manual Installation
Alternatively, you can install the dependencies manually:
```bash
pip install -r requirements.txt
python -m spacy download en_core_web_sm
python -c "import nltk; nltk.download('punkt')"
```
## Common Issues and Solutions
### ImportError: cannot import name 'cached_download' from 'huggingface_hub'
This occurs due to version incompatibility between huggingface_hub and sentence_transformers. To fix:
1. Run the dependency fixer script: `python fix_dependencies.py`
2. Or manually install compatible versions: `pip install huggingface-hub==0.14.1 sentence-transformers==2.2.2`
### PydanticImportError: `pydantic:ConstrainedStr` has been removed in V2
This error occurs when using spaCy 3.5.0 with pydantic v2. To fix:
1. Run the dependency fixer script: `python fix_dependencies.py`
2. Or manually install a compatible pydantic version: `pip install "pydantic<2.0.0"`
## Running the Application
```bash
streamlit run app.py
```
## Usage
1. Upload a resume in PDF format
2. Select a target job position
3. Review the analysis results in the different tabs
4. Click "Generate Personalized Career Advice" to get recommendations
## Dependencies
- streamlit
- pdfplumber
- spacy
- transformers
- sentence-transformers
- torch
- nltk
- plotly
- pandas
- numpy
- matplotlib
## Supported Job Positions
- Software Engineer
- Interaction Designer
- Data Scientist
## How it Works
1. Upload your resume (PDF or DOCX format)
2. Select the target job position
3. The app will analyze your resume and provide:
- A list of matched skills with a match percentage
- An AI-generated summary of your resume
- Suggestions for skills you might want to develop
## Technologies Used
- Streamlit for the web interface
- Hugging Face Transformers for AI-powered text summarization
- spaCy for natural language processing
- PyPDF2 and python-docx for document parsing
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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