• Hackathon Radar
Hackathons
  • Browse
  • Judge Opportunities
  • Sponsors
  • Organizers
  • Map
  • Discover
Personal
  • Custom Views
  • Passport
  • Favorites
Explore
  • Stats
  • State of Hackathons
  • Changelog
  • Settings

GENIUS Olympiad 2026

devpostHosted on Devpost

Fetched about 5 hours ago

Saturday, May 30, 2026

to Wednesday, June 10, 2026

•

2 weeks long

Data ScienceArtificial IntelligenceWeb Development
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

in person

29

Participants

2

Est. Projects

About the challenge

GENIUS Coding Hackathon challenges GENIUS Olympiad Coding finalists to use programming, creativity, and problem-solving skills to develop a software-based solution for an assigned environmental issue. During this 24-hour in-person hackathon, students will work individually or in teams of up to two to design, build, test, and present a functional project.

Projects may include web applications, desktop software, data-driven tools, intelligent systems, AI-assisted applications, or other coding-based solutions. All work must be completed during the hackathon, and each team must demonstrate how their project meaningfully addresses the environmental challenge.

Get started

Students should bring their own laptop, charger, and any coding tools or development environments they plan to use. At the start of the hackathon, teams will receive the official environmental challenge prompt and may begin building their solution.

Teams may use programming languages, frameworks, open-source libraries, APIs, public datasets, internet resources, and AI-assisted tools. AI usage must be disclosed in the required AI usage declaration statement part of the submission form as well as the presentation. Teams must work independently and may not receive help or feedback from teachers, mentors, chaperones, other teams, or outside individuals during the hackathon.

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