PyroScan AI is a GenAI-powered multi-agent system for real-time forest fire prediction across 10 global zones. Designed for researchers and disaster teams, it includes agents for fire detection, weather analysis, and historical data mining. Deployable via CLI or Docker.

No description available

AI and ML project for predicting and detecting forest fires

Forest Fire Prediction software via AI/TensorFlow

AI-based forest fire risk prediction system

🔥 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).

A machine learning model that predicts the major forest causing fires in the region of Algeria.

No description available

An AI-driven system designed to predict forest fire risks using environmental data and provide an autonomous response framework for early warning and prevention.

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

No description available

AI-Powered Disaster Management System: Forest Fire Risk Prediction

AI-based forest fire risk prediction system using machine learning

India's first AI-powered geospatial system for predicting forest fire risk and simulating fire spread using satellite, weather, and terrain data. Built by Team NeuroNix.

Forest Fire Prediction System AI-Powered Wildfire Risk Assessment & Early Warning

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

AI-powered forest fire spread prediction and simulation system with Gemini Copilot

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

Forest Fire Prediction Project: AI-driven analysis of satellite data forecasts fire outbreaks. Proactive measures in high-risk areas protect forests and communities.

No description available

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

EcoSentry harnesses the power of AI to predict and prevent forest fires before they devastate our natural landscapes, providing firefighters with critical early warnings and optimizing resource deployment to save forests, wildlife, and communities. Protecting forests with AI, one prediction at a time.

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.

The Ontario Wildfyre application provides real-time wildfire updates, reporting tools, and a Google Maps visualization for Ontario. It also features an AI-powered forest fire behavior prediction tool for localized queries.