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OpenBuild Week - Mini Hackathon

lumaHosted on Luma

Fetched about 3 hours ago

Saturday, July 18, 2026

to Saturday, July 18, 2026

Artificial Intelligence

Event Type

in person

33

Participants

₹30,000

Prize Pool

2

Est. Projects

OpenBuild Week (OBW) Mini Hackathon Kickstart your journey into the world of building, innovation, and open technology at the OpenBuild Week (OBW) Launch Event! OpenBuild Week is a community-driven initiative that brings together students, developers, designers, and innovators to explore AI, Open Source, Open Payments, Web3, and Product Development through hands-on learning and collaboration. The launch event marks the beginning of an exciting series of workshops, builder sessions, and campus events leading up to the OpenBuild Week Buildathon. Whether you're a beginner or an experienced builder, this is your opportunity to learn, network, and start building impactful projects with guidance from industry experts and mentors. 🏆 Build at OBW & Win ₹30,000! Participate in OpenBuild Week, build an innovative project, and stand a chance to win prizes worth ₹30,000 at the grand Buildathon. 💡 Attend the sessions.🛠️ Build your project.🏆 Compete for ₹30,000 in cash prizes.💼 Get noticed by our hiring partners for internship and placement opportunities. Don't just attend, build, showcase your skills, and turn your ideas into reality.

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