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Cyvl Hackathon 2026

lumaHosted on Luma

Fetched about 5 hours ago

Saturday, June 13, 2026

to Saturday, June 13, 2026

Artificial Intelligence

Event Type

in person

$12,000

Prize Pool

APPLICATIONS CLOSED!!! WE ARE NOT TAKING ANYMORE APPLICATIONS Description: $12,000 in prizes. 48 builders. One day to build something real. Cyvl Hackathon, June 13 at Cyvl HQ. Use our data to fix real-world problems. Who should come: Student builders who actually want to make a change! Teams of 4! (You can some in solo or with a group) Cities have always been inspected by humans with clipboards. Slow, expensive, full of gaps. Cyvl made every street, sign, sidewalk, pole, and curb a data point. High-res imagery. LiDAR. CV tools you can train in hours. APIs that let your code query a real city like a database. Okay, but what can I actually build? Here are some ideas. Street Light Failure Prediction: Corroded poles. Failing fixtures. Flag them before outages hit. Layer in crime + traffic data to rank which blocks go first. Urban Heat Island Mapper: Cyvl tree canopy scans + satellite surface temps. Find the hottest neighborhoods. Show where cooling infrastructure is missing. Real Accessibility Auditor: A ramp on a map is not a usable ramp. Find every ADA route, then cross it with flood zones, pavement damage, and maintenance gaps. Score how accessible a city actually is, not just how it looks. Ages 18+ onlySend an email to xnishikawa@cyvl.ai for any questions/inquiries!

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