We were thoroughly impressed by the attendees when it came time to judge projects. Not only were the projects innovative, highly technical and solving real-world problems, but the students were also composed and engaging during their presentations. This is quite a feat for most people, let alone on no sleep!
Despite an array of exciting projects, we could only choose one Data Challenge winner … and we chose Aceso! Aceso is an AI-powered platform that seeks to enable easier real-time diagnosis of prevalent illnesses worldwide, with a focus on developing nations. Three bright, young undergrad students, Andre Fu, Kuba Wernerowski, and Gaurav Ranganth designed a fully functioning system for this purpose. Not only was their solution technically proficient, but they had also designed a business model for Aceso and are thinking of next steps for this important project.