As wildfires grow more frequent and destructive in Canada due to climate change, communities, responders, and policymakers lack timely and predictive tools to prepare for these disasters. We aim to develop an AI system that predicts wildfire likelihood using real-time weather data and satellite imagery, helping identify high-risk zones before fires ignite. By simulating post-fire weather conditions and environmental damage, our model empowers stakeholders to visualize consequences and take proactive action. This project seeks to bridge the gap between raw environmental data and accessible, predictive insight for wildfire mitigation.