Playr

Playr is an AI-powered platform that helps athletes showcase skills, join contests, and get discovered by coaches and recruiters.

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Playr

AI-powered sports talent development and recruitment platform with smart matchmaking algorithms.

Features

Player Side

  • Upload skill videos and receive AI analysis using Gemini
  • Get detailed feedback on performance and technique
  • Track progress with a rating system and build a video portfolio
  • Gain exposure to recruiters and verified coaches

Coach Side

  • Create and manage teams
  • Provide feedback on player videos
  • Access AI-powered drill and training recommendations

Recruiter Side

  • Swipe-based interface for discovering athletes
  • Advanced search and filtering
  • Chat with players directly
  • Access verified, AI-analyzed performance data

Tech Stack

  • Frontend: React + Vite
  • Backend: Supabase (PostgreSQL, Auth, Storage)
  • AI: Google Gemini 1.5 Flash
  • Styling: Custom CSS (mobile-first design)

Algorithms

Smart Matchmaking Algorithm

  • Uses K-Nearest Neighbors (KNN) and Cosine Similarity
  • Weighted scoring based on skill, performance, position, and location
  • Suggests optimal player-recruiter matches

Video Skill Scoring

  • Motion analysis and pattern recognition
  • Performance evaluation and consistency scoring
  • AI-driven technique feedback

Dynamic Leaderboard Ranking

  • Elo-style rating system
  • Adjusts for difficulty and competition level
  • Ensures fair and competitive rankings

Coaching Recommendations

  • Collaborative filtering for drill and coach suggestions
  • Learns from player history and improvement patterns

Business and Revenue Model

Contests = Engagement + Data + Monetization

Players join skill challenges or drills with small entry fees or sponsorships.
AI or real coaches provide feedback and generate verified performance data.
Leaderboards showcase top athletes and data is accessible to recruiters.

Revenue Sources

  • Player contest entry fees
  • Sponsored contests for brand visibility
  • Recruiter access to data and insights

Hackathon Fit

Algorithms Track

  • Smart matchmaking (KNN, weighted scoring)
  • Elo-based rankings
  • AI-driven motion scoring

AI/ML Track

  • Gemini AI video feedback
  • Skill analysis and performance insights

Venture Track

  • Scalable data-driven recruitment marketplace
  • Contest-based engagement system
  • Freemium and data access model

Setup Instructions

  1. Clone this repository.
  2. Configure Supabase project and add credentials.
  3. Run the database schema file (supabase-schema.md).
  4. Install dependencies: ```bash npm install Start the development server:

bash Copy code npm run dev

License MIT License

Built For RythmHacks 2025

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