Environmental ML Model
fire-prediction is an environmental science application using machine learning to predict forest fire risk based on meteorological data. The project includes comprehensive data preprocessing, feature engineering, and model evaluation with visualization dashboards to help environmental agencies assess fire risk.
Forest fires cause significant environmental and economic damage. Early prediction and risk assessment are crucial for prevention and resource allocation, but traditional methods often lack the precision needed for effective fire management.
By leveraging machine learning algorithms and meteorological data, the system provides accurate fire risk predictions, enabling proactive measures and better resource management for fire prevention and response.