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BuunieX Hackathon

devpostHosted on Devpost

Fetched about 18 hours ago

Monday, June 22, 2026

to Saturday, August 22, 2026

•

2 months long

Artificial IntelligenceData ScienceWeb Development
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

online

83

Participants

7

Est. Projects

About the Challenge Welcome to BuunieX Hackathon, an AI innovation challenge where students, developers, designers, and technology enthusiasts come together to build impactful solutions using Artificial Intelligence. Whether you're passionate about Generative AI, Computer Vision, NLP, automation, healthcare, education, sustainability, fintech, or productivity, this is your opportunity to transform ideas into working prototypes. Participants are encouraged to think creatively, collaborate effectively, and leverage modern AI technologies to solve real-world problems. What you can build AI-powered web or mobile applications Intelligent assistants and chatbots Healthcare and education solutions Productivity and automation tools Sustainability and social impact projects Developer tools powered by AI Any innovative AI solution with real-world value

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