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InterUni HackFest 1.0

lumaHosted on Luma

Fetched 4 months ago

Saturday, February 21, 2026

to Saturday, February 21, 2026

Web DevelopmentMobile DevelopmentArtificial IntelligenceMachine LearningSocial Impact

Event Type

in person

154

Participants

13

Est. Projects

πŸš€ InterUni HackFest 1.0 InterUni HackFest 1.0 is a one-day inter-university hackathon bringing together creative minds, innovators, and problem-solvers from different institutions to collaborate, build, and innovate. Participants will form teams, brainstorm impactful ideas, and develop tech-driven solutions to real-world challenges within a limited time. Whether you’re a beginner or an experienced hacker, this event is designed to help you learn, network, and push your limits. πŸ”₯ What to Expect Collaborative team hackingHands-on problem solvingMentorship and peer learningNetworking with students from different universitiesProject demos and presentationsExciting challenges and prizes πŸ‘©β€πŸ’» Who Should Attend University & college studentsDevelopers, designers, and innovatorsTech enthusiasts eager to learn and buildAnyone passionate about technology and innovation πŸ“ Venue Kabarak University, Eldama Ravine Road, Nakuru. πŸ“… Date & Time Saturday, February 218:00 AM – 5:00 PM (GMT+3) πŸŽ’ Come with your laptop, ideas, and enthusiasm.Let’s build, learn, and innovate together!

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

  • β€’ Hosted by a university
  • β€’ Open to students
  • β€’ 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