To be eligible for judging, each team must submit the following:

🧠 1. Working AI Project

• Build a fully functional project that solves a real-world problem using:
• An AI or ML model (custom-built or integrated)
• A dataset (public, synthetic, or self-collected)
• A working user interface (web app, mobile app, or dashboard)
• The solution must demonstrate a clear end-to-end flow — data input → AI processing → output visualization or result.
• All code must be original and created during the hackathon period.

📦 2. Devpost Submission

Your submission on Devpost must include:

• Project Title & Description:
  • Clearly describe what problem your project solves, how it uses AI, and who benefits.
• Demo Video (≤ 3 minutes):
  • Show your project in action (interface + AI functionality).
  • Explain your model’s purpose, data used, and key results.
  • Upload to YouTube or Vimeo and include the public link.
• Public GitHub Repository:
  • Must include source code, documentation, and an open-source license.
  • Provide setup instructions and dependencies for judges to test.
• Working Demo / Deployed Link:
  • A live web app, hosted dashboard, or accessible testing environment.
  • If the app is private, include test credentials.
• Documentation File (README):
  • Describe model design, dataset details, and system architecture.
  • Include clear installation and run steps.

🧩 3. Optional (but Encouraged)

• • Architecture Diagram or Flowchart: Visualize how your AI pipeline works.
  • Performance Metrics: Include evaluation results or benchmarks.
  • Ethics & Responsibility Note: Briefly explain how your AI handles bias, fairness, or privacy.

4. Eligibility Notes

• • Projects must be new and original for this hackathon.
  • Reusing old work, templates, or previously submitted ideas will disqualify the entry.
  • Team size: up to 4 members.