AI Hackathon - Paris Uniting Innovators Worldwide

Submission Guidelines

Each team may submit only one final Writeup, but you can un-submit, edit, and re-submit as many times as you want before the deadline.

Your Writeup should:

• Provide a clear summary of your project
• Include links to supporting resources (code, demos, etc.)

⚠️ Important: Only Writeups that are submitted before the deadline will be considered. Drafts or un-submitted entries will not be reviewed by the judges.

Required and Optional Deliverables

a. Code Repository (required)
Your solution must be well-documented and reproducible.

• Code should be public and viewable without login (GitHub repo, Hugging Face space, Kaggle notebook, etc.).
• The goal is to validate your project’s authenticity and technical depth.

b. Video or Blog (optional, but highly recommended)
We encourage you to create a short video demo or public blog post telling the story of your project.

• Show us how you used AI to solve your chosen problem.
• Formats: YouTube, Medium, TikTok, X (Twitter), LinkedIn, or other public platforms.
• Must be viewable without login.

c. User Survey (optional, bonus points)
Each team is encouraged to complete a short Lovable online survey about your project.

• Bonus points are awarded for completeness of the survey.
• Answers themselves are not graded, only whether the survey is fully completed.

Judging Criteria

Submissions will first be checked for completeness, then scored across the following dimensions:

1. Technical Implementation (35%)

• Code Quality & Execution (20%)

  • 0%: Code doesn’t run
  • 10%: Code runs but is inefficient/hard to follow
  • 20%: Code runs smoothly, clean and readable

• Effective Use of AI Concepts (15%)

  • 0%: AI usage irrelevant
  • 5%: AI used but not central to solution
  • 15%: AI integrated effectively into solution

2. Innovation & Creativity (25%)

• Novelty of Approach (10%)
  • 0%: Common/standard approach already available online
  • 10%: Fresh and original approach
• Problem Significance & Impact (15%)
  • 0%: No real impact on any metric
  • 5%: Small improvement (slight efficiency gain, etc.)
  • 15%: Significant measurable impact (time saved, new users, revenue, engagement, etc.)

3. Demo & Presentation (20%)

• Clarity of Problem & Solution (10%)
  • 0%: Difficult to follow
  • 5%: Clear but poorly documented
  • 10%: Clear explanation with strong documentation
• Explanation of Architecture & Tools (10%)
  • 0%: No explanation
  • 5%: Explanation or diagram, but not both
  • 10%: Clear explanation and architectural diagram

4. Assets (20%)

• Public Blog or Video (10%)
  • 0%: None provided
  • 5%: Exists but unclear
  • 10%: Clearly demonstrates the solution
• Public Code Repository (10%)
  • 0%: Code not shared
  • 10%: Code available publicly (GitHub, etc.)

5. Generation AI Conference Bonus (Optional, up to +10%)

• Feedback on AI Tools & Process (5%)
  • 0%: No feedback
  • 5%: Useful feedback/friction points provided
• Lovable Survey Completed (5%)
  • 0%: Not completed
  • 5%: Completed in full