This innovation addresses the two key bottlenecks of today’s wildfire systems through a custom data pipeline designed from the ground up to scale across geolocation, time, and features, and tailored transformer models that deliver a 15% improvement in detection and a 61% boost in prediction recall over existing ML approaches. Additionally, a web app was developed to showcase the practical, real-world application of these models.