A simple NLP-based system that analyzes resumes against job descriptions to provide optimization suggestions.

• PDF and DOCX resume parsing
• Job description analysis
• Skills matching
• Improvement recommendations

NLP_ATS/
├── src/
│   ├── parser.py      # Document parsing
│   ├── matcher.py     # Resume-job matching
│   └── constants.py   # Predefined values
├── app.py            # Streamlit interface
├── requirements.txt  # Dependencies
└── README.md        # Documentation

1. Create a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

2. Install dependencies:

pip install -r requirements.txt

3. Download spaCy model:

python -m spacy download en_core_web_sm

4. Run the application:

streamlit run app.py

1. Upload your resume (PDF or DOCX)
2. Paste the job description
3. Get analysis results:
   • Match score
   • Skills comparison
   • Improvement suggestions

• Python 3.8+
• spaCy for NLP
• scikit-learn for text matching
• Streamlit for UI