Welcome to the AI Hackathon 2026! This repository is your central hub for learning the core concepts needed to build production-grade AI applications.
To go from zero to a winning prototype, follow this flow:
- Learn Core Concepts: Read through the Core Modules (LLMs, APIs, RAG, Fine-Tuning).
- Practice via Labs: Fork the Labs Repo and complete the auto-graded exercises to build muscle memory.
- Explore Starter Kits: Look at our Starter Kits (Basic to Advanced) to find a base for your project.
- Join GitHub Classroom: Access your official team repository (see Discord/Email for the link).
- Build & Submit: Follow the Submission Template to prepare your final project.
Choose your specialization or combine them:
- Traffic AI: Computer vision, edge deployment, vehicle telemetry.
- MCP Workflow AI: Tool-use, agents, and local LLM orchestration.
- Hallucination & Quality: RAG evaluation, dataset quality, and reliability.
- Technical Issues: Check the Common Errors section below.
- Discord: Join the
#hackathon-helpchannel. - Mentors: Available Mon-Fri (10 AM - 4 PM) for 1:1 sessions.
| Error | Fix |
|---|---|
ModuleNotFoundError |
Run pip install -r requirements.txt in the kit/lab directory. |
KeyError: 'OPENAI_API_KEY' |
Create a .env file based on .env.example and add your key. |
Rate Limit Exceeded |
Use a small time.sleep(1) between requests or check your quota. |
- Days 1-2: Learning & Labs (Prep phase)
- Day 3: Team formation & Ideation
- Days 4-8: Building phase (Starter kits recommended)
- Day 9: Testing & Optimization
- Day 10: Final Submission (Midnight)