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Build with AI: Code the Cup Hackathon

lumaHosted on Luma

Fetched about 2 hours ago

Thursday, July 16, 2026

to Friday, July 17, 2026

•

4 hours long

Artificial Intelligence

Event Type

in person

140

Participants

12

Est. Projects

Build with AI: Code the Cup Hackathon is a FIFA-inspired AI hackathon bringing together developers, designers, and football enthusiasts to reimagine the future of the beautiful game through technology. Participants will work in teams to build innovative AI-powered mini-solutions across fan engagement, match analytics, accessibility, sports media, player performance, and stadium experiences. Inspired by the excitement of the 2026 FIFA World Cup in Toronto, the hackathon celebrates creativity, collaboration, and rapid innovation at the intersection of football and artificial intelligence. Registration closes 48 hours before the event. Agenda: 4:30 PM: Doors open and networking 4:30 PM5:30 PM - 5:45 PM: Intro GDG Toronto, WTM Toronto and Northeastern University. The teams select the challenges.5:45 PM – 6:30 PM: Teams start thinking of probable solutions and start working on it using their choice of AI.6:30 PM to 6:45 PM: 15 mins break. Mentors will visit teams and help teams resolve any bugs or issues they might have run into.6:45 PM to 7:20 PM: Resolving bugs, and final touch ups.7:20 PM - 8:20: Presentation8:20 - 8:30 PM: Announce winner8:30 PM: Wrap up

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