gaurav25bm/Algerian-Forest-Fire-Predictor

A Flask web application to predict Forest Fire Weather Index (FWI) using a Ridge Regression model. # Algerian Forest Fire Predictor A machine learning web application that predicts the **Forest Fire Weather Index (FWI)** based on meteorological data from the Sidi Bel-abbes and Mascara regions of Algeria. ## 🚀 Live Demo Check out the live application here: algerian-forest-fire-predic… ## 🛠️ Technologies Used * **Python 3.14** * **Flask** (Web Framework) * **Scikit-Learn** (Machine Learning - Ridge Regression) * **Pandas & Numpy** (Data Manipulation) * **Gunicorn** (Production Server) * **Render** (Deployment & CI/CD) ## 📊 Dataset Information The dataset includes weather observations like Temperature, Relative Humidity (RH), Wind Speed (Ws), and Rain. The target variable is the **FWI**, which helps in identifying the risk level of forest fires. ## 💻 How to Run Locally 1. Clone the repo: `git clone github.com` 2. Install dependencies: `pip install -r requirements.txt` 3. Run the app: `python application.py`