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Build with AI: Agentic Premier League

commudleHosted on Commudle

Fetched about 5 hours ago

Friday, May 22, 2026

to Sunday, May 31, 2026

•

1 week long

Artificial IntelligenceEducationCommunityMentorshipNetworking

Event Type

hybrid

200

Participants

18

Est. Projects

Agentic Premier League (APL) Code Bhi. Cricket Bhi. Welcome to the Agentic Premier League (APL) - a unique AI builder league by Google Developer Groups Lucknow that combines the energy of cricket with the spirit of building. APL is not just another hackathon. It's a fast-paced builder experience designed for developers, creators, and professionals who love solving problems and shipping ideas. What is the Qualifier Round? This is a 150 minutes online build challenge where shortlisted teams will compete by building a working solution around AI and agentic workflows. Teams will receive a set of problem statements at the beginning of the round and must: Pick one problem Build a working prototype Submit their solution within the allotted time Submission Requirements Each team must submit: GitHub repository Working demo video README with project details The video link must also be attached inside the GitHub repository and submission.

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