Hydra, a part AI-powered application built in Next.js, is designed to optimize controlled burn strategies for wildfire and ecosystem management, leveraging historical data. Hydra identifies the optimal location and intensity, measured as fire radiative power (FRP) in megawatts, for a controlled burn within a given region. Hydra uses real-time environmental data to identify controlled-burn locations. Furthermore, Hydra employs an ML XGB Boost prediction model to determine the controlled fire's intensity (FRP), enabling forestry officials and firefighters to better understand smoke residue and the controlled fire's intensity, reducing previous risks associated with controlled fire use. Our unique research can potentially change the landscape of wildfire prevention forever.