AI-Enabled Wildfire Risk Mapping & Emergency Navigation

Wildfires significantly threaten ecosystems, human settlements, and infrastructure, requiring advanced technologies for risk assessment and emergency response. This project introduces an AI-enabled Wildfire Risk Mapping and Emergency Navigation system that uses deep learning techniques to improve wildfire prediction, risk assessment, and real-time emergency response. The system utilizes Convolutional Neural Networks (CNNs) to analyze satellite imagery and climate data and identify high-risk zones. NLP-powered chatbots process real-time reports from social media, emergency broadcasts, and citizen input to improve situational awareness. In addition, Generative AI models simulate potential wildfire scenarios and suggest optimal evacuation strategies. By leveraging AI-driven risk mapping, real-time data analysis, and generative simulations, this solution improves disaster resilience, enhances early warnings, and optimizes evacuation strategies, ultimately minimizing loss of life and property.