shubhmrj/Predict-forest-fire

Monitoring and prediction system for Algerian forest fires using satellite data and machine learning. # Algerian Forest Fire Prediction **Predicting the Fire Weather Index (FWI) using meteorological data with a Flask-based web interface.** --- ## Table of Contents - Project Overview - Features - Tech Stack - Directory Structure - Installation - Usage - Workflow - Model Training and Evaluation - Dataset - Future Improvements - Contributing - License - Credits --- ## Project Overview This project demonstrates an end-to-end machine learning solution for predicting the Fire Weather Index (FWI) based on the Algerian Forest Fires dataset from 2012. The primary goal is to provide a reliable prediction of fire risk, which is then served through an intuitive web UI built with Flask. The FWI is a key indicator of fire danger, and this tool helps in assessing the risk level by mapping the predicted FWI to a clear risk band. ### Demo --- ## Features - **FWI Prediction**: Utilizes a Ridge Regression model to predict the Fire Weather Index. - **Modern UI**: A user-friendly interface with client-side validation for a seamless experience. - **Risk Assessment**: Translates the FWI prediction into an easy-to-understand risk level (Low, Moderate, High, Extreme). - **Interactive Notebooks**: Includes Jupyter notebooks for exploratory data analysis and model training. --- ## Tech Stack - **Python**: Core programming language. - **Flask**: Web framework for the user interface. - **Scikit-learn**: For machine learning model development. - **NumPy & Pandas**: For data manipulation and analysis. --- ## Directory Structure Click to expand ``` Predict-Forest-Fire/ ├── application.py ├── requirement.txt ├── README.md ├── Datasets/ │ ├── Algerian_forest_fires_dataset.csv │ └── algerian_forst_fires_updated_datatset.csv ├── Models/ │ ├── ridge.pkl │ └── scaler.pkl ├── Notebooks/ │ ├── EDA_and_FeatueEngineering.ipynb │ └── model_training.ipynb ├── templates/ │ ├── index.html │ └── home.html └── docs/ ├── cost_function.png ├── Screenshot 2026-01-02 …