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🏸 Badminton Talent Identification using AI

This project is a multi-modal AI system for identifying badminton talent using:

  • Text-based personal data
  • Pose detection from videos
  • Match outcome prediction

Features

  • Talent recommendation based on physical & personal attributes
  • Pose analysis using MediaPipe
  • Lightweight ML models
  • Simple and clean UI

Tech Stack

  • Python
  • Scikit-learn
  • MediaPipe
  • FastAPI
  • Streamlit

Project Phases

  1. Text-based recommendation
  2. Pose-based motion analysis
  3. Match outcome prediction

Disclaimer

Due to lack of public Iranian badminton datasets, part of the data is synthetic or user-generated.