This hackathons is only open to students. Double check the event page for more information as this may mean only those from a particular university/country are eligible.
Event Type
in person
Join us for the final presentations and networking session of the AI / Data in Healthcare Hackathon hosted at the University of Toronto.
Over the past week, participants have been building projects exploring how modern AI technologies can be applied to real-world healthcare challenges.
Teams have been working on ideas ranging from clinical note interpretation and workflow automation to decision-support tools and production-oriented AI systems designed for healthcare environments.
During this Presentation Day, selected teams will present their projects live, sharing their ideas, prototypes, and technical approaches.
We are also opening this session to industry professionals and members of the AI and data community who are interested in seeing emerging ideas at the intersection of AI and healthcare.
The event will conclude with a networking session, bringing together hackathon participants, students, builders, and professionals working across AI, data, and healthcare.
This is a great opportunity to:
• See emerging AI prototypes in healthcare
• Meet talented builders and technical teams
• Connect with professionals exploring AI applications in healthcare
📅 Date: March 13, 2026
⏰ Time: 1:00 PM – 5:00 PM (Presentation starts at 2PM)
📍 Location: University of Toronto
Supported by VS Consulting Group and Predictiv AI Inc.
Community partner: Students in Data Science and Statistics (SDSS)
Judge Accessibility
Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10
Top signals
Organizer email available
Student-run event
Actively looking for judges
Organizers
Alex Johnson
alex@example.org
Jamie Rivera
jamie@example.org
Sam Chen
sam@example.org
Estimated Audience
Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech
Technical Focus
AI95%
Web80%
Mobile25%
Industries
Healthcare
Education
Climate
Technologies
Python
React
OpenAI
Why this estimate
• Hosted by a university
• Open to students
• MLH member event
Estimate inferred from event metadata, not actual attendee data.