AI-based forest fire risk prediction system

A website that uses trained data and scikit learn to predict fires in forests.

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AI-based forest fire risk prediction system using machine learning

Forest Fire Prediction and Simulation using AI/ML (ISRO Antriksh Hackathon)

AI-based Forest Fire Prediction using Satellite Imagery, Elevation, NDVI, and LLMs.

for sam-ai hackathon , building a forest fire risk prediction model with various risk analysis and trend analysis models using NASA FIIRMS forest fire datasets {approx 8 crore} VIIRS - dataset

The Wildfire Risk Prediction using AI/ML project uses AI to detect fire-prone areas by analyzing weather, wind, and vegetation. It provides early warnings to help prevent wildfires, protect forests, and reduce damage.

🔥 AI Forest Fire Prediction System Predicts wildfire risks using real-time weather data & ML. Features comprehensive risk assessments, professional reports, and an AI chat assistant for safety guidance. Built with Python/Flask, integrates Open-Meteo API. Uses RandomForestClassifier (78.3% accuracy, 96.6% ROC AUC).