About the challenge


The Bayou Code Challenge is a four-hour hackathon where you’ll team up to solve real traffic problems facing campus and our community. Whether you’re new to hackathons or an experienced coder, you’ll get to brainstorm, build, and demo creative tech solutions—like apps or programs that use AI to ease traffic jams, help emergency vehicles, and improve daily commutes. Free food, swag, and prizes make this event even more exciting!

Get started

Ready to join the challenge?

Register https://events.mlh.io/events/13205-bayou-code-challenge and confirm your spot.

 

Arrive at Hemphill Hall 203 & 223 by 11:00 am for check-in.

Listen to the opening presentation to form your team (max 3 members).

Choose your traffic problem, brainstorm a solution, and start building!

Submit your code, working demo, and short description before 2:30 pm.

Requirements

What to Build

Create a working prototype that addresses one or more campus traffic challenges: traffic jams, accident-related lane closures, emergency vehicle routing, or general road blockages.

Your solution can be a web app, mobile app, or program.

Use an AI API (such as Google Gemini) to analyze data and provide smart recommendations. Non-compulsory but highly encouraged.

All code, frameworks, and assets must be started during the hackathon. Public libraries and templates are allowed if you provide credit.

What to Submit

A working functional demo of your project (video, website, or app - share access instructions if necessary).

The code repository link (GitHub or similar), submitted through Devpost.

A short project description explaining the problem, your approach, and how your prototype works.

Names of all team members (maximum 3 per team).

Credit any open-source code, datasets, or public resources used.

 

Hackathon Sponsors

Prizes

1 non-cash prize
Gift Hamper
1 winner

Gift Hamper from MLH

Devpost Achievements

Submitting to this hackathon could earn you:

Judges

Rohan Shrestha

Rohan Shrestha
Shiloh Industry

Nishu Shrestha

Nishu Shrestha
GreenQube

Judging Criteria

  • Problem Solving
    Does the project effectively address one or more real-world traffic issues, such as jams, accidents, or emergency routing?
  • Technical Implementation
    How well is the solution built? Is the code robust and does it integrate technology effectively, including use of appropriate frameworks and APIs?
  • Use of AI API
    Does the project leverage an AI API (such as Google Gemini) to analyze data or suggest smart solutions? Is the AI integration meaningful and impactful?
  • Design of the Solution
    Is the solution well-designed? Consider user experience, interface clarity, and how intuitively the project solves the problem.
  • Presentation
    Is the demo clear, engaging, and easy to understand for judges and participants?
  • Real Implementation Possibility
    Could this solution realistically be implemented and used to improve traffic problems in the real world?

Questions? Email the hackathon manager

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