aryan-Patel-web/FWI-Algerian-Forest-Fire-Prediction

A machine learning project to predict the Fire Weather Index (FWI) for Algerian forests using meteorological data, employing Ridge Regression with feature scaling to enable early warning and prevention of forest fires. FWI Prediction Web App A machine learning-powered Flask web application that predicts the Fire Weather Index (FWI) using meteorological data. It uses a trained Ridge Regression model and StandardScaler to provide fire risk predictions based on user input. 📌 Features Predicts FWI based on: 🌡️ Temperature 💧 Relative Humidity 🌬️ Wind Speed 🌧️ Rainfall 🔥 FFMC (Fine Fuel Moisture Code) 🌲 DMC (Duff Moisture Code) 🌪️ ISI (Initial Spread Index) 🌍 Region 🔥 Fire Class (A, B, etc.) Clean and user-friendly form in HTML Real-time prediction using Flask Model and scaler saved as .pkl files Offline-trained ML model using Ridge Regression 📁 Project Structure MACHINE_LEARNING-PROJECT/ │ ├── app.py # Main Flask app ├── models/ │ ├── ridge.pkl # Trained Ridge Regression model │ └── scaler.pkl # StandardScaler object │ ├── templates/ │ ├── index.html # User input form │ └── home.html # Result display page │ ├── static/ # (Optional) CSS or JS files ├── requirements.txt # Python dependencies ├── README.md # Project documentation └── .gitignore # Git ignored files 🧠 How It Works The user enters data like temperature, wind speed, and humidity via a web form. Flask collects the form data and standardizes it using scaler.pkl. The Ridge Regression model (ridge.pkl) predicts the Fire Weather Index (FWI). The predicted FWI is shown on a result page with fire risk interpretation. 📝 Input Fields Field Description Temperature Temperature in °C RH Relative Humidity (%) WS Wind Speed (km/h) Rain Rainfall in mm FFMC Fine Fuel Moisture Code DMC Duff Moisture Code ISI Initial Spread Index Classes Fire Class (e.g., A, B, etc.) Region Region Name or Number 💻 Technologies Used Python 3 Flask scikit-learn HTML/CSS (Jinja2 templates) Pickle (model & scaler serialization) 📦 requirements.txt Example txt flask numpy pandas scikit-learn ✅ TODO / Future Enhancements A …