$ cat projects/agnidrishti-nepal/README.md
AgniDrishti Nepal
AI wildfire prediction & early warning system for Nepal
final year major project
- problem
- Wildfires spread across Nepal faster than anyone can report them, and the people at risk find out last.
- approach
- Custom-trained Random Forest and Naive Bayes models scoring wildfire risk from weather, elevation and satellite fire-hotspot data — with Vapour Pressure Deficit computed as an engineered feature.
- build
- A JWT-secured FastAPI backend with role-based access for admins and the public, live incident reporting, automated full-country risk scans, and a React front end with real-time hotspot mapping.
- data
- NASA FIRMS · OpenWeatherMap · Open-Elevation
- React
- FastAPI
- MongoDB
- Scikit-learn
- Random Forest
- Naive Bayes