Flask-based Machine Learning web application for predicting Algerian Forest Fire risk using Fire Weather Index (FWI).
# Algerian Forest Fire Detection Web App
An end-to-end Machine Learning web application built using **Flask** to predict the **Fire Weather Index (FWI)** for Algerian forest regions based on meteorological parameters.
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## Features
- Splash Screen with project introduction
- Fire Weather Index (FWI) Prediction
- Ridge Regression ML Model
- Clean and responsive UI
- Flask-based backend
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## Input Parameters
- Temperature
- Relative Humidity (RH)
- Wind Speed (Ws)
- Rain
- FFMC
- DMC
- ISI
- Fire Class
- Region
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## Tech Stack
- Python
- Flask
- Scikit-learn
- HTML, CSS
- NumPy, Pandas
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## Project Structure