sharmila208/algerian-forest-fire-prediction-ml

An end-to-end Machine Learning project that predicts Algerian forest fire risk by estimating the Fire Weather Index (FWI) from environmental parameters such as temperature, humidity, wind speed, and rainfall. The model is deployed using Flask with a user-friendly web interface for real-time prediction. # Lab-flask To run flask application **python app.py** To access your application open new tab in and paste the url which you got after running the applucation.py