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AI Hackathon (In-Person Only)

lumaHosted on Luma

Fetched about 4 hours ago

Friday, August 7, 2026

to Sunday, August 9, 2026

•

2 days long

Artificial Intelligence

Event Type

in person

30

Participants

2

Est. Projects

🚀 AI Hackathon Build a real app in 3 days using AI and Replit—no coding experience required. Whether you're a student, entrepreneur, professional, designer, or simply curious about AI, this hackathon is for you. Over three days, you'll learn how to use AI to build a working application from scratch. You'll work individually or with a team, receive guidance from mentors, and present your project at the end of the event. Need inspiration? We'll provide real challenges from local businesses and organizations for teams to solve. Already have an idea? You're welcome to build your own. What You'll Learn Build apps using AI and ReplitTurn ideas into working prototypesCollaborate with a teamPitch your project to judgesLearn modern AI-powered development workflows Who Should Attend? Everyone is welcome. No programming experience is required. Beginners and experienced developers alike will find something valuable. What to Bring 💻 A laptop💡 Curiosity🤝 A willingness to learn and collaborate By the end of the hackathon, you'll leave with new skills, new connections, and a working project you can continue building long after the event ends.

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