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AMS GenAI & Video HACKATHON 2026

lumaHosted on Luma

Fetched 4 months ago

Saturday, March 21, 2026

to Sunday, March 22, 2026

•

1 day long

Artificial Intelligence

Event Type

in person

€4,000

Prize Pool

The AMS Gen AI Hackathon is a two-day, in person event, focused on the next generation of AI-native video. We’re hosting ~70 engineers, designers, and technical founders for a focused weekend of building video-first apps, tools, and content. VEED, Lovable & Runware are hosting. Why Join? Tech: Direct access to the latest video and GenAI tooling from the teams that built themPrizes: €4,000 cash + product creditsSignal: Capped at 70 participants. A room of people buildingTeams: Solo or teams of up to 4. Join solo or form a team on-site Schedule: Saturday, March 21 9:00 - Check-in & Breakfast9:30 - Opening & Welcome10:00 - Team formation10:15 - Hacking starts12:30 - Lunch17:00 - Dinner18:00 - End of day 1 Sunday, March 22 10:00 - Doors open10:15 - Hacking continues11:00 - Brunch13:00 - Submissions due14:00 - Demos16:00 - Awards17:00 - End of AMS Gen AI Hackathon 2026 Registration: We’re selecting for people who want to build something real over a weekend and are comfortable working with GenAI and video tools. Experience level doesn’t matter, ability to ship does. Bring a laptop. Hosted by VEEDWe are VEED, the all-in-one AI video creation platform designed to help you build professional content in minutes. Whether you’re looking to generate AI videos from a simple prompt, create lifelike AI avatars for your brand, or use our online video editor to polish your latest project, we’ve got the tools to make it happen.From auto-subtitles and AI voice cloning to our pro-grade screen recorder, we’re on a mission to democratise video storytelling through the power of generative AI.Want to see what you can build? Try VEED for free.

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