A Flask web app to predict Algerian Forest Fire Weather Index (FWI) using Machine Learning.
# Flask Forest Fire Prediction
## Overview
A Flask web application that predicts the **Algerian Forest Fire Weather Index (FWI)** using a trained machine learning model.
The app allows users to input environmental parameters and get a risk prediction for forest fires.
## Features
- Predict forest fire risk based on weather and environmental data
- Easy-to-use web interface built with Flask
- Scalable and deployable as a web app
- Uses StandardScaler for feature scaling and ML model for prediction
## Dataset
The app uses the **Algerian Forest Fires Dataset** with features such as:
- Temperature (°C)
- Relative Humidity (%)
- Wind speed (km/h)
- Rainfall (mm)
- FFMC, DMC, DC, ISI, BUI (forest fire indices)