Know when rain starts from your own Home Assistant weather station. 170+ derived sensors, ET0 irrigation, fire danger, UTCI heat stress, dashboards, and blueprints.

Real-time satellite wildfire monitoring & fire-risk for Algeria — NASA FIRMS + Fire Weather Index, on an interactive map.

CumulusUtils

Machine learning model to predict the Fire Weather Index (FWI) from meteorological data for forest fire risk assessment.

This project uses the Algerian Forest Fires dataset from the UCI Machine Learning Repository to predict fire risk using linear regression. The dataset includes temperature, humidity, wind, rain, and Fire Weather Index (FWI) components recorded across two Algerian regions. The project includes EDA, feature engineering, model training, & evaluations.

ArcGIS Toolbox for Fire Danger Rating System based on the Canadian Forest Fire Weather Index System

A Flask web application that predicts the Fire Weather Index (FWI) using Linear Regression and meteorological data from the Algerian Forest Fires dataset.