arunav0501/fwi-prediction-regression-flask

This is a simple machine learning project that uses various regression models to predict the Fire Weather Index (FWI) from the Algerian Forest Fires dataset. The final model is deployed using a Flask-based web application. # fwi-prediction-regression-flask # 🔥 Algerian Forest Fires - FWI Prediction using Regression Models This project predicts the **Fire Weather Index (FWI)** from the **Algerian Forest Fires** dataset using various regression models. It includes a Flask-based web application for interactive prediction. --- ## 📂 Dataset - Source: Algerian Forest Fires Dataset - Cleaned version used for training - Features include temperature, RH, wind, rain, and more - Target: Fire Weather Index (FWI) --- ## 📈 ML Models Used - **Linear Regression** - **Ridge Regression** - **Lasso Regression** - Model training and comparison done in Jupyter Notebooks --- ## 🌐 Web App (Flask) The project includes a simple Flask web app where users can input features and get real-time FWI predictions. - Frontend: HTML (with `index.html` and `home.html`) - Backend: Flask (`application.py`) --- ## 🧪 How to Run 1. **Clone the repository** ```bash git clone github.com cd fwi-prediction-regression-flask