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UnivaBio

devpostHosted on Devpost

Fetched about 4 hours ago

Friday, August 7, 2026

to Friday, September 18, 2026

•

1 month long

Beginner FriendlyHealthSocial Impact
Student only
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

online

12

Participants

1

Est. Projects

About the challenge

UnivaBio is a global student competition open to students aged 13+ hosted collaboratively by BioCataalysis and UnivaDev in support of innovation at the intersection of healthcare and technology.

Theme: Technology for Human Health

This event specifically brings together young innovators from worldwide to explore technology’s role in human health. Working individually or in teams, participants will design and build a meaningful technical product that helps people detect illness earlier, understand it better, or live with it more easily.

Your project can take almost any form: an app, a website, a simulation, a system, or an algorithm. This can be an EdTech app teaching about specific health concepts, a classification model trained on imaging datasets, or an innovation that one wants to propose that has significant medical implications.

You are encouraged to use AI assistants while building. We want the technical barrier to be low enough that beginners with ambitious ideas can actually ship them. What matters is that you understand what you built and can explain it. Be prepared to walk judges through your own code.

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.

Quality Score

Quality Score

72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Operations12/15

Why this score

Strong organiser track record
Returning event
Well-sponsored

Missing data

Prize details
Code of conduct