souryadip-official/Algerian-Forest-Fire-FWI-Prediction

A Flask-based web app that predicts the Fire Weather Index (FWI) using machine learning regression models on the Algerian Forest Fire dataset. Users can input weather and environmental parameters (temperature, humidity, wind speed, rainfall, etc.) to get fire risk predictions instantly. # 🔥 Fire Weather Index (FWI) Prediction A Flask-based web application that predicts the **Fire Weather Index (FWI)** using machine learning models trained on the Algerian Forest Fire dataset. The app allows users to input weather and environmental parameters and instantly get predictions on fire risk. --- ## 🚀 Features - User-friendly web interface built with **Flask** - Input form with detailed explanations for each parameter - Predicts the **numerical FWI value** - Stylish results page with options to return home or try again --- ## 📊 Dataset The project is based on the **Algerian Forest Fire dataset**, which includes features like: - 🌡️ Temperature - 💧 Relative Humidity (RH) - 🌬️ Wind Speed (Ws) - 🌧️ Rain - 🔥 FFMC, DMC, ISI indices - 🔖 Class (Fire / Not Fire) - 📍 Region (Bejaia or Sidi-Bel Abbes)