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AI Startup Buildathon 2026 – Beauty Salon Marketplace Challenge

unstopHosted on Unstop

Fetched about 5 hours ago

Wednesday, May 27, 2026

to Sunday, June 28, 2026

•

1 month long

Artificial IntelligenceCloudEdtech

Event Type

online

1,918

Participants

₹5,000

Prize Pool

172

Est. Projects

About the Buildathon: AI is changing the way startups are built — and SuperXgen is creating a platform for the next generation of builders, creators, developers, designers and entrepreneurs to build real startup ideas using AI. Welcome to the SuperXgen AI Startup Buildathon 2026 — a 48-hour online hackathon where participants will build a city-based beauty salon marketplace platform using modern AI tools and rapid development workflows. Challenge Statement: Participants need to create a modern startup-style platform for a specific city such as: Mumbai Salon Marketplace Bangalore Luxury Salon Finder Delhi Bridal Beauty Booking Platform Pune Home Salon Service Platform Hyderabad Grooming Marketplace Participants are encouraged to use AI tools like: ChatGPT Claude Cursor Lovable Bolt Replit Figma AI Firebase Vercel And more What You Need to Submit: Live website link GitHub repository 2–3 minute demo video Short explanation of AI tools/workflow used Judging Criteria: Product Thinking UI/UX Design AI Usage & Innovation Execution Quality User Experience Team Size: 1–3 Members Why Participate?: Build a real startup-style project Showcase your skills publicly Get featured by SuperXgen Network with builders & founders Internship & collaboration opportunities Community recognition and certificates This is not just a coding competition. This is a challenge to build, innovate and launch using AI. Join India’s next generation of AI builders with SuperXgen.

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