game-analytics-platform-computer-vision

Official

Real-time fitness tracking with computer vision, enhanced by AI and Spring Boot.

AuthorAradotso
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides a comprehensive platform for real-time fitness tracking using computer vision, offering an alternative to traditional fitness monitoring systems.

Core Features & Use Cases

  • Real-time Exercise Tracking: Tracks user movements during various fitness exercises using webcam input.
  • Multi-Modal Tracking: Combines YOLO for object detection, MediaPipe for pose estimation, and Python scripts for workout metrics.
  • Data Management: Orchestration by Spring Boot backend, and Python AI scripts for data analysis and export.
  • User Interface: React + Vite dashboard for game control and visualization.
  • Use Case: A personal trainer or fitness enthusiast can use this Skill to track and improve their workouts with detailed metrics and real-time feedback.

Quick Start

Install the skill and run it. Access the dashboard at http://localhost:8080.

Dependency Matrix

Required Modules

javapythonnodejsopencv-pythonpandaspyttsx3ultralytics

Components

scriptsreferencesassets

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: game-analytics-platform-computer-vision
Download link: https://github.com/Aradotso/data-skills/archive/main.zip#game-analytics-platform-computer-vision

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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