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FORGe Hackathon - the Largest Student AI Hackathon

lumaHosted on Luma

Fetched about 5 hours ago

Friday, November 7, 2025

to Saturday, November 8, 2025

•

1 day long

Artificial IntelligenceMachine LearningData ScienceStudent
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

Join your team for an electrifying 24-hour journey where students in AI, Machine Learning, Data Science, and Software Engineering come together to form teams, build prototypes, and pitch their ideas. Taking place November 7–8 at Impact Hall in Lisbon, right before Web Summit during Portugal Tech Week, this hackathon will bring together over 100 participants for keynotes, workshops, mentorship, and final presentations. ​​With the support of industry experts, academic leaders, and startup partners, participants will gain real-world experience, expand their network, and explore opportunities to shape the future of AI in Portugal. ​​Build the future with us. Our main partners are DareData, NOVA IMS and Ripply. Our technology partners are n8n, ElevenLabs, and Beyond Presence, while our community partners are Lisbon AI Week and Data Makers Fest. For more details visit https://unlnovae.org/forge-hackathon/

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