SOLAR ROOFTOP ANALYZER - LOCAL SETUP GUIDE

SYSTEM REQUIREMENTS:
- Python 3.8 or higher
- 4GB RAM minimum
- Internet connection for AI features
- 500MB free disk space

STEP-BY-STEP SETUP:

1. EXTRACT FILES
   - Extract this ZIP file to a folder
   - Open terminal/command prompt in that folder

2. INSTALL PYTHON DEPENDENCIES
   Run: pip install -r requirements.txt
   
   If you get errors, try:
   - pip install --upgrade pip
   - pip install -r requirements.txt --no-cache-dir

3. CONFIGURE API KEY (OPTIONAL)
   - Copy .env.example to .env
   - Get free API key from https://openrouter.ai/
   - Edit .env file and add your key
   - Note: Computer Vision works without API key

4. RUN THE APPLICATION
   Run: streamlit run app.py
   
   The app will open in your browser at:
   http://localhost:8501

5. TEST THE APPLICATION
   - Upload sample images from examples/ folder
   - Try both CV-only and CV+AI modes
   - Download analysis reports

TROUBLESHOOTING:

Problem: "streamlit command not found"
Solution: pip install streamlit

Problem: "OpenCV import error"
Solution: pip install opencv-python

Problem: "API Error 402"
Solution: You've exceeded free daily limit (50 requests)

Problem: Port 8501 already in use
Solution: Streamlit will suggest another port automatically

FEATURES TO TEST:
- Upload different rooftop images
- Compare CV-only vs CV+AI results
- Download JSON reports
- Check performance metrics
- Test with/without API key

SAMPLE USAGE:
1. Upload examples/mumbai_residential.jpg
2. Select "Qwen 2.5 VL 72B" model
3. Enable "Use AI Enhancement"
4. Click "Analyze with Computer Vision"
5. Review results and download report

For support: Priyanshu.pp8@gmail.com