This competition aims to develop unique and innovative solutions using data to diagnose various health issues early. The participants must use the given dataset to develop innovative solutions to predict or early diagnose any disease or health condition. The details of the solutions need to be documented clearly, and a presentation on the same needs to be developed. Participants must describe the novelty, uniqueness, and impact of their given solution.
Dataport Wearable Health Hackathon
Instructions
Participants should use the given data to develop AI and ML models to predict health conditions. Participants should submit the code, a presentation file to explain the work, and a video presentation. The novelty and usage of the data must be highlighted.
Who can participate?
Graduate and undergraduate students
Young professionals
Competition guidelines
This is a single-step competition - participants need to submit the solution using the dataport portal by the given deadline.
A presentation slide and recorded presentation (max. 5 min) are mandatory.
Participants must submit their code and other analysis reports.
Follow all the instructions given in the event details and portal.
The top five teams (max) will get an opportunity to present their solution at IEEE FLEPS 2025.
Awards
First prize (150 USD)
Runner-up (100 USD)