Gaurabh007/Algerian-Forest-Fires

# Algerian Forest Fires 🔥 --- ## 🌲 Overview **Algerian Forest Fires** is a machine learning project that analyzes and predicts forest fires in two regions of Algeria using meteorological data. The project focuses on: - Regression: Predicting the Fire Weather Index (FWI) Built using Python, scikit-learn, Flask, and deployed for real-time interaction. --- ## 🧪 Models Used ### 🔢 Regression (FWI Prediction) - **Algorithms**: Linear Regression, Ridge, Lasso, ElasticNet, SVR, RandomForest - **Metrics**: R² Score, RMSE - **Output**: Continuous prediction of Fire Weather Index --- ## 📊 Dataset - **Source**: UCI ML Repository — Algerian Forest Fire Dataset - **Records**: 244 observations - **Features**: Temperature, Rain, RH, Wind Speed, and fire indexes (FFMC, DMC, DC, ISI, BUI, FWI) - **Target Variables**: - `FWI` (continuous) for regression --- ## 🚀 Installation ```bash git clone github.com cd Algerian-Forest-Fires python -m venv venv source venv/bin/activate # On Windows use `venv\Scripts\activate` pip install -r requirements.txt