Algerian Forest Fire Detection is a machine learning–based web application that predicts the Fire Weather Index (FWI) using meteorological and environmental data from Algerian forest regions. The project leverages data preprocessing, feature scaling, and a Ridge Regression model, deployed using Flask for real-time predictions.