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Anthropic x Maryland Hackathon

devpostHosted on Devpost

Fetched about 4 hours ago

Friday, November 7, 2025

to Saturday, November 8, 2025

•

1 hour long

Artificial IntelligenceMachine LearningBeginner FriendlyStudentCommunity
Student only
This hackathons is only open to students. Double check the event page for more information as this may mean only those from a particular university/country are eligible.

Event Type

in person

76

Participants

6

Est. Projects

Here's to a flagship AI hackathon!

​Come for an evening of coding, creating, and connection

Whether you’re a seasoned hacker or just curious about AI, this is your chance to dive into hands-on projects, swap ideas, and maybe even win some prizes. Expect food, merch, and plenty of surprises to keep the energy high all evening.

We are open to students of any major. No team? No problem! We will have a team formation opportunity in the beginning. Can't code? Never been to a hackathon before? Now's your time to come to one :)

Special thanks for our friends at Anthropic, UMD Innovation and Entrepreneurship, Potomac Pizza, and ACM for helping making this vision a reality.

Sponsors

Potomac Pizza image

Potomac Pizza

Anthropic image

Anthropic

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