Predicts forest-fire risk from weather and fire-weather-index data, using Gaussian Naive Bayes trained on the Algerian Forest Fires Dataset (244 records). Built as a full-stack app: React 19 + Vite frontend with prediction, results (charts), and emergency-contact screens, backed by a Flask API serving the pretrained scikit-learn models.