forest-fire-prediction and Forest-Fire-Prediction-System
These are competitors offering alternative machine learning approaches to the same forest fire prediction problem, with the first project appearing more mature (7x higher stars) and specifically targeting Algerian fire data with Fire Weather Index features.
About forest-fire-prediction
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.
About Forest-Fire-Prediction-System
vaniseth/Forest-Fire-Prediction-System
Forest Fire Prediction System gives the most accurate predictions of when fire can take place. Project made for Software Engineering Lab 2023.
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