Saiyan-pride/Algerian-Forest-Fire-Prediction

ML web app to predict Fire Weather Index (FWI) for Algerian forest fires using Ridge Regression & Flask. # 🔥 Algerian Forest Fire - FWI Predictor A machine learning web application that predicts the **Fire Weather Index (FWI)** based on weather and environmental conditions from the Algerian Forest Fires dataset. ## 🛠️ Tech Stack - **Python** — Flask, Scikit-learn, Pandas, NumPy - **ML Model** — Ridge Regression (R² = 98.2%) - **Frontend** — HTML, CSS ## 📊 Features Used Temperature, Relative Humidity, Wind Speed, Rain, FFMC, DMC, ISI, Classes, Region ## 🚀 How to Run ```bash # 1. Clone the repo git clone github.com cd Algerian-Forest-Fire-FWI-Predictor # 2. Create virtual environment python -m venv venv venv\Scripts\activate # Windows source venv/bin/activate # Mac/Linux # 3. Install dependencies pip install -r requirements.txt # 4. Run the app python application.py ``` Open → 127.0.0.1 ## 📁 Project Structure ## 📌 Dataset Algerian Forest Fires Dataset - UCI ML Repository