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GDG AI HACK - 2026 Italy

allhackathonsHosted on All Hackathons

Fetched 1 day ago

Friday, May 8, 2026

to Sunday, May 10, 2026

•

2 days long

Artificial IntelligenceMachine LearningEducationComputer VisionNetworking
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

EUR15

Prize Pool

GDG AI HACK is back for its third edition — a free AI hackathon organised by Google Developer Group PoliMi and GDG Cloud Milano. Build, ship, and compete alongside real mentors and industry sponsors at Randstad Box in Milan. ⚠️ This is a selective event open to university students, PhD students, and recent graduates. Attendance is by application only — apply at gdgaihack.com. Applications close April 17 and are reviewed on a rolling basis. THE TRACKSThree focused challenge tracks — full briefs revealed at kickoff on May 9: — Learn Different (Braynr): AI for education. Cross-disciplinary teams — designers, engineers, domain experts. — See Beyond (Luxonis): spatial AI and computer vision with real OAK camera hardware. On-device, no cloud. — Cut the Cord (MSI): on-device AI. What can you build when the internet is optional? Plus 10 side challenges open to all teams. 📅 May 8 — Networking night at Google Milan (Via Federico Confalonieri 4) 📅 May 9–10 — 24h+ hackathon at Randstad Box (Via S. Vigilio 5, Milan) 🍕 Free to attend — meals and snacks included 🏆 Backed by MSI, Luxonis, Braynr, Google, Replit, GitHub Education, Corsair, Elgato, ENHANCE and more Apply at gdgaihack.com

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