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README.md
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@@ -18,3 +18,81 @@ Edit `/src/streamlit_app.py` to customize this app to your heart's desire. :hear
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If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
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forums](https://discuss.streamlit.io).
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If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
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forums](https://discuss.streamlit.io).
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# Saving the documentation content as a README.txt file
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readme_content = """
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# ☀️ Solar Rooftop Analyzer
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Analyze rooftop images to determine suitability for solar panel installation and estimate ROI using AI.
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---
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## 🛠️ Project Setup Instructions
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### Requirements
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- Python 3.9+
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- Streamlit
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- Pillow (PIL)
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- Internet access for OpenRouter API
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### Installation
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```bash
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git clone https://github.com/yourusername/solar-rooftop-analyzer.git
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cd solar-rooftop-analyzer
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python -m venv venv
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source venv/bin/activate # On Windows: venv\\Scripts\\activate
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pip install -r requirements.txt
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Run the App
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bash
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Always show details
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Copy
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streamlit run app.py
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⚙️ Implementation Overview
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The application takes a rooftop image and uses OpenRouter's vision model to analyze:
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Roof Area (sqm)
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Sunlight Availability (%)
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Shading (Yes/No)
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Recommended Solar Panel Type
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Estimated Capacity (kW)
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It also estimates:
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Installation Cost
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Government Incentives
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Net Cost
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Annual Savings
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Payback Period
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Budget Suitability
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💡 Example Use Cases
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Homeowners planning solar installations
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Building managers seeking quick feasibility checks
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Consultants showing clients AI-backed rooftop analysis
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🚀 Future Improvements
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Auto-detect roof via satellite using geolocation
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Incorporate solar irradiance data for precision
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Add financial breakdown reports (EMI, depreciation, etc.)
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Support multiple image uploads for complex rooftops
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"""
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