Handbook - AI Hackathon - Paris Uniting Innovators Worldwide
AI Tinkerers - Paris

AI Hackathon - Paris Uniting Innovators Worldwide

Handbook for the AI Hackathon - Paris Uniting Innovators Worldwide hackathon.

Handbook

🚀 About the Hackathon

In-Person & Virtual: August 30–31, 2025 — 24‑hour global AI sprint.
Join us in Paris or fully online.


👥 Who Should Join

  • Builders who ship running code (no pitch-only projects)
  • Individuals or teams of up to 4
  • Technical roles encouraged: ML engineers, full-stack, data scientists, product/UX

📜 Rules & Deliverables

  • Teams of max 4; work must be created or substantially extended during the hackathon
  • Submit a project including:

    • Project Name & Description
    • Products & Tools Used
    • Team Contributions
  • Optionally, link a 2-minute demo video (deployed service or local demo)
  • Submit a GitHub repo (public or private with access), README, and optional project website

Judging Criteria: 🔎 Detailed Scoring

Criterion Weight
Technical 35%
Innovation 25%
Presentation 20%
Assets 20%
Bonus (survey & feedback) +10%

Submission Checklist (before Aug 31, 3:00 PM)

  • GitHub repo + README with run instructions
  • Deployed demo link or local test instructions
  • 1‑page slides or README problem/impact summary
  • 2‑minute demo video (recommended)
  • Required credentials/access for judges
  • Short note on Responsible AI & limitations

🤝 Sponsors & Organizers


🧑‍🏫 Mentors & Office Hours

Sign up for mentor sessions and Bring specific asks to maximize feedback (e.g., “debug agent loop”, “scale retrieval”)

Highlighted Mentors:
Lodovico BENVENUTI (Early Stage…)
Alaa ABDULRIDHA (Search…)
Vrinda BHATIA (MCP…)
Ammar EKBOTE (PaaS…)
Sujata SRIDHARAN (Fintech…)
Abdoulaye DOUCOURE (Seed for Good…)

🛠 Suggested Tech Stack & Tooling

  • LLM / Models: OpenAI, Anthropic, Mistral, Cohere, Hugging Face, Google Gemini
  • Integration Frameworks: LangChain, LlamaIndex, Haystack
  • Agent Frameworks: LangChain Agents, AutoGPT/BabyAGI (be cautious of safety/loops)
  • Vector DBs / Retrieval: Weaviate, Pinecone, Milvus
  • MLOps & Monitoring: Weights & Biases, MLflow, logging + health endpoints
  • Hosting / Deployment: Vercel, Koyeb, Heroku, Cloud Run, Docker + ngrok
  • In-browser / Edge LLMs: WebLLM, Ollama, on-device inference

📁 Starter Repo Structure (Suggested)

/README.md        → run instructions, API keys  
/app              → frontend/demo  
/backend          → model integration, APIs  
/data             → sample data & indexing  
/infra            → Dockerfiles & deploy scripts  
/presentation     → slides + demo video links  

💡 Project Idea Prompts

  • Ethical AI: transparency, fairness, privacy-preserving solutions
  • Agentic AI: autonomous planning and execution
  • In-browser personal LLM with local retrieval & privacy
  • Multimodal search: image+text retrieval for e-commerce or research
  • FinTech: explainable models for transaction categorization, compliance, or support agents
  • Conversational RAG systems with evaluation pipeline

⚡ Hacking Tips & Priorities

  • Scope small: one happy path + working demo > many features
  • Start with tiny or synthetic datasets to prove flow
  • Use managed services to avoid infrastructure time sinks
  • Containerize early for consistent demos
  • Record short guided demo video in case of network issues

🛡 Support & Logistics

  • Venue / registration questions: registration page
  • Remote participants: join Discord to connect with teammates

🔐 Responsible AI & Data Privacy

  • Explicitly state data provenance and model usage in README & slides
  • Avoid uploading PII without consent
  • Include limitations & safety note in submission

📬 Contacts & Help


💡 Build fast, demo clearly, and have fun!
We’re watching for creative, reproducible projects that ship working code.