Srivanth Rudrangi, alongside a team of four Brown Scholars, Anish Koduri, Amulya Bisaria, and Krish Hariharan,earned Best Integration of the Gemini API and a first-place finish at HackRice 16, competing against 120 teams. Their award-winning project, outrunn, is an iOS application that combines phone-camera scanning with Apple Health data to estimate a user’s biological, cardiac, and pulmonary age.
Using the Gemini API, the app then transforms those insights into a personalized recovery plan, showcasing an innovative approach to leveraging AI for health and wellness.
