aravind-selvam/forest-fire-prediction
Project for Predicting Algerian Forest Fires and Fire Weather Index Using Machine Learning with Python.
Implements dual predictive models—binary classification (fire/no-fire) and regression (Fire Weather Index)—trained on scikit-learn algorithms including Random Forest, XGBoost, and SVR, with hyperparameter tuning via stratified k-fold cross-validation. Persists Algerian forest fire observations to MongoDB Atlas and exposes predictions through a Flask REST API deployed on Heroku with both web interface and Postman-testable endpoints.
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Feb 22, 2023
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