UnivaBio is a global student competition hosted by BioCataalysis and UnivaDev, challenging participants aged 13+ to build AI-powered tools for healthcare. It offers $40,000 in non-cash prizes, focusing on projects that make healthcare smarter, earlier, and more accessible. Submissions can be apps, websites, simulations, systems, or algorithms, requiring a project, demo video, one-page description, and code repository.
By BioCataalysis
UnivaBio is a global student competition presented by BioCataalysis, inviting students worldwide to develop tools that enhance healthcare. The initiative aims to make healthcare solutions smarter, earlier, and more accessible through technological innovation. Participants are encouraged to leverage artificial intelligence to address real-world health challenges. This competition brings together young innovators to explore the role of AI in human health. Participants, working individually or in teams, will design and build a technical product that helps individuals detect illnesses earlier, understand health conditions better, or manage living with them more easily. The theme specifically focuses on Artificial Intelligence for Human Health. Projects can take various forms, including apps, websites, simulations, systems, or algorithms. Examples include AI EdTech applications for health concepts, classification models using imaging datasets, or innovations with significant medical implications. The competition aims to lower technical barriers, enabling beginners with ambitious ideas to bring them to fruition, with an emphasis on understanding and explaining the built solution. The competition offers $40,000 in non-cash prizes across several categories, including Momen Credits, CodeCrafters Memberships, InterviewBuddy Credits, Protoflow Credits, Adaption Labs Credits, and Tin Computer Growth Credits. Submissions require a functional project, a demo video, a one-page project description, and a GitHub repository or code PDF.
Participants are to design and build a meaningful technical product that helps people detect illness earlier, understand it better, or live with it more easily, using Artificial Intelligence. The project can be an app, a website, a simulation, a system, or an algorithm. Examples include an AI EdTech app teaching health concepts, a classification model trained on imaging datasets, or an innovation with significant medical implications. Participants are encouraged to use AI assistants.
Students only, aged 13+ only. Companies/professional organizations are excluded from participation. Open to all countries/territories, excluding standard exceptions.