---
title: SolarAI Assistant
emoji: 🚀
colorFrom: red
colorTo: red
sdk: docker
app_port: 8501
tags:
- streamlit
pinned: false
short_description: I helps to calculate the space and type of solarpan,cost et
license: unknown
---

# Welcome to Streamlit!

Edit `/src/streamlit_app.py` to customize this app to your heart's desire. :heart:

If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
forums](https://discuss.streamlit.io).


# Saving the documentation content as a README.txt file

readme_content = """
# ☀️ Solar Rooftop Analyzer

Analyze rooftop images to determine suitability for solar panel installation and estimate ROI using AI.

---

## 🛠️ Project Setup Instructions

### Requirements
- Python 3.9+
- Streamlit
- Pillow (PIL)
- Internet access for OpenRouter API

### Installation

```bash
git clone https://github.com/yourusername/solar-rooftop-analyzer.git
cd solar-rooftop-analyzer

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

pip install -r requirements.txt
Run the App
bash
Always show details

Copy
streamlit run app.py
⚙️ Implementation Overview
The application takes a rooftop image and uses OpenRouter's vision model to analyze:

Roof Area (sqm)

Sunlight Availability (%)

Shading (Yes/No)

Recommended Solar Panel Type

Estimated Capacity (kW)

It also estimates:

Installation Cost

Government Incentives

Net Cost

Annual Savings

Payback Period

Budget Suitability

💡 Example Use Cases
Homeowners planning solar installations

Building managers seeking quick feasibility checks

Consultants showing clients AI-backed rooftop analysis

🚀 Future Improvements
Auto-detect roof via satellite using geolocation

Incorporate solar irradiance data for precision

Add financial breakdown reports (EMI, depreciation, etc.)

Support multiple image uploads for complex rooftops
"""