The hackathon’s central theme challenged participants to conceive and develop an AI-driven health solution that meaningfully improves patient outcomes or streamlines clinical workflows. Over the course of the event, teams collaborated to identify critical gaps in healthcare delivery—whether in early disease detection, personalized treatment planning, remote monitoring, or patient engagement—and then leveraged cutting-edge machine learning models, natural language processing, and computer vision techniques to prototype intelligent tools. By combining domain expertise with agile development practices, participants aimed not only to demonstrate technical ingenuity but also to address real-world health challenges, ultimately creating accessible, scalable applications that could empower clinicians, support caregivers, and enhance the well-being of communities everywhere.