Solarwise is a tool that helps users calculate the solar potential of their roofs using AI/ML models and geolocation data. It predicts solar energy generation over time and estimates the break-even period and environmental impact.
- Users select a location and enter the roof area estimate.
- AI/ML models predict solar radiation (SDLR) over the next 6–10 years based on historic data.
- Converts predicted SDLR from W/m² to kWh adjusted for sunlight hours.
- Displays results through interactive graphs.
- Estimates the break-even period based on initial investment and energy savings.
- Example: A ₹1.5 lakh investment generating energy worth ₹1.5 lakh in 8 years = 8-year break-even point.
- Shows the estimated CO₂ offset from generated solar energy.
- Displays the equivalent number of trees saved based on offset data.
- Next.js
- TailwindCSS
- Shadcn/ui
- Flask (Python)
- SARIMA model (trained on historic SDLR data from the CLARA weather dataset)
- Clone the repository:
git clone https://github.com/RakshitRabugotra/solarwise.git- Install dependencies:
cd solarwise
npm install - Start the app:
cd web
npm run dev - Start the backend:
cd api
python run.py - Tested with real-time weather data.
- Verified energy estimates and payback period accuracy.
- Rakshit Rabugotra
- Subhajit Das
- Deepanshu Saini
- Arjun Singh
This project is licensed under the MIT License.