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Codex Community Hackathon - Bangladesh

lumaHosted on Luma

Fetched 27 minutes ago

Saturday, July 11, 2026

to Sunday, July 12, 2026

•

1 day long

Artificial IntelligenceSocial ImpactWeb Development

Event Type

in person

129

Participants

11

Est. Projects

The Codex Community Hackathon at CSE Carnival 2026 is a national-level AI-powered development competition hosted at Shahjalal University of Science and Technology on July 11–12, bringing together 40 teams and 120 participants to build real-world applications using Codex, APIs, and modern AI development workflows. The event is designed to showcase how developers can accelerate software engineering with AI-assisted coding, rapid prototyping, and intelligent tooling. The competition runs across three phases: a mock preliminary round, a qualifying round, and a 24-hour final hackathon. During the main hackathon, teams spend the first half brainstorming ideas, architecting solutions, and leveraging Codex to rapidly build and integrate features, while the second half focuses on refinement, deployment, testing, and final presentations. Throughout the event, participants receive guidance from industry mentors, hands-on technical sessions, and access to curated developer tools and AI resources. Projects are evaluated by a panel of industry and academic experts based on innovation, technical execution, practical impact, and effective use of AI-assisted development workflows. Top-performing teams gain recognition, networking opportunities, startup exposure, and direct connections with the tech industry. The hackathon ultimately aims to help students move beyond traditional coding practices and explore the future of AI-driven software development with Codex.

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