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Music Video Hackathon at UCSD | Top Speakers/Judges + Cash Prize

lumaHosted on Luma

Fetched about 4 hours ago

Thursday, November 6, 2025

to Friday, November 7, 2025

•

4 hours long

Artificial IntelligenceMusicSocial ImpactInnovation

Event Type

in person

14

Participants

$500

Prize Pool

1

Est. Projects

🎉 Join us for the first-ever AI Music Video Hackathon at UCSD! ​Create your own music video: ​Use OpenArt’s Music Video Generator to create a short-form music video on the spot, enjoy vibes & snacks, meet top creators, and compete for prizes like 🏆cash and 🚀chance to get featured on Times Square Billboards! ​Whether you're a film nerd, TikTok aficionado, or AI creator — this is your moment. ​Presented by: OpenArt AI, UCSD CSES. Guidelines and Tutorials here. ​🗓️ Event Details ​📅 Date: Thursday, November 6, 2025​🕒 Time: 1:00 – 4:30 PM​📍 Location: On-Campus TBA​🎁 Prizes: $500 cash, Times Square Billboard feature, Invite to SF Grand Finale to meet top AI companies, influencers, celebrities​🍕 Free snacks & drinks provided ​📝 How to Participate ​🎧 We’ll provide free OpenArt credits and 10 trending songs to choose from.​🎥 Create a 60–90 second video using OpenArt + TikTok (or just your phone!).​📩 Submit your video before 4:00 PM for judging.​📲 Tag your video with #openartmv and #openartmvUCSD on TikTok or IG to enter the global challenge (optional).​💡 No prior experience in editing or AI? We’ve got tutorials, templates, and volunteers to help! ​🌍 Can't Join In-Person, But Want to Compete Globally Too? ​The MIT event is also your gateway to the global contest: OpenArt Music Video Awards (Oct 15–Nov 11). Submit to the online contest here and be seen by industry judges from Atlantic Records, YouTube, and Billboard.

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