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Anthropic Hackathon(GT HackerHouse X CBC)

devpostHosted on Devpost

Fetched 1 day ago

Saturday, October 18, 2025

to Saturday, October 18, 2025

Beginner FriendlyArtificial Intelligence
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

3

Participants

$1,500

Prize Pool

0

Est. Projects

About the challenge

Join the Anthropic Hackathon, hosted by Claude Builder Club @ GT and GT HackerHouse. where Georgia Tech student build AI-powered applications with Claude. Work solo or in teams of up to 3 to create innovative projects using cutting-edge language models. No experience required; workshops and mentorship will get you started.

This is your chance to explore what's possible with Claude, collaborate with passionate builders, and compete for $500 in Claude API credits.

Get started

Friday, October 17

  • 6:00 PM – Check-in
  • 7:00 PM – Opening Ceremony
  • 7:30 PM – Hands-On Workshop (Build Your First Claude App)
  • 9:00 PM – Hacking Begins

Saturday, October 18

  • 10:30 AM – Brunch
  • 5:00 PM – Project Submissions Due
  • 5:30 PM – Closing Ceremony with Demos & Dinner

All participants receive free Claude Pro accounts and Claude credits to build with. Food, snacks, and drinks provided throughout the weekend.

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