This is a Flask-based web application that predicts the Fire Weather Index (FWI), which indicates the potential risk of forest fires based on environmental conditions. Users can input features like temperature, humidity, wind speed, and rainfall to get an FWI prediction.
The app is interactive, user-friendly, and ready for deployment.
- Predict Fire Weather Index (FWI) using a pre-trained ML model
- Interactive web interface for inputting environmental data
- Scales and preprocesses input features for accurate predictions
- Displays FWI clearly for decision-making and risk assessment
- Easily deployable on platforms like Heroku, Render, or PythonAnywhere