An AI-powered web application that analyzes medical bills to detect overcharges, duplicate fees, and billing errors.

• Smart Upload: Drag-and-drop support for PDF, JPG, and PNG medical bills
• AI Analysis: Uses Google Gemini 2.0 Flash to:
  • Extract and structure bill data (patient info, charges, dates)
  • Detect overpriced services and duplicate charges
  • Identify missing insurance adjustments
  • Flag unbundled procedures
• Detailed Results: Color-coded issues, cost breakdowns, and potential savings
• Dispute Templates: Auto-generated professional email templates for billing departments
• History Tracking: Store and review past bill analyses

• Backend: Flask + SQLAlchemy + SQLite
• Frontend: React (Vite) + Modern CSS
• AI: Google Gemini 2.0 Flash
• Text Extraction: pdfplumber (PDF) + Tesseract OCR (images)

See SETUP.md for detailed installation instructions.

• Python 3.8+
• Node.js 16+
• Tesseract OCR
• Google Gemini API key

cd backend
pip install -r requirements.txt

# Configure environment
cp .env.example .env
# Edit .env and add your OPENAI_API_KEY

# Test setup
python test_setup.py

# Run server
python run.py

Backend runs on: http://127.0.0.1:5000

cd frontend
npm install
npm run dev

Frontend runs on: http://127.0.0.1:5173

webjam2025/
├── backend/
│   ├── app.py              # Flask API endpoints
│   ├── models.py           # Database models (Bill, Item)
│   ├── database.py         # SQLAlchemy configuration
│   ├── text_extractor.py   # PDF/image text extraction
│   ├── llm_service.py      # OpenAI integration
│   ├── test_setup.py       # Setup verification script
│   ├── requirements.txt    # Python dependencies
│   ├── .env.example        # Environment template
│   └── uploads/            # Temporary file storage
│
└── frontend/
    ├── src/
    │   ├── App.jsx                  # Main application
    │   ├── components/
    │   │   ├── BillUpload.jsx      # File upload component
    │   │   └── BillAnalysis.jsx    # Results display
    │   └── index.css                # Styles
    ├── vite.config.js

    └── tailwind.config.js

• CORS is enabled for http://127.0.0.1:5173
• Database file (app.db) is auto-created in the backend folder
• Tailwind CSS errors in the editor are normal and will work when running