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Vision Arcade

A collection of browser-based interactive games controlled using computer vision and natural hand gestures.


Overview

Vision Arcade demonstrates how computer vision can transform traditional browser games into interactive experiences driven entirely through hand movement.

The project combines real-time gesture recognition with lightweight web technologies to explore natural human-computer interaction in entertainment applications.


Motivation

The project was developed to investigate how gesture recognition can provide intuitive interaction within browser-based games while maintaining responsive performance and accessibility.


Key Features

  • Gesture-controlled gameplay
  • Browser-based implementation
  • Real-time hand tracking
  • Multiple interactive experiences
  • Lightweight architecture
  • Cross-platform compatibility

Technology Stack

  • HTML
  • CSS
  • JavaScript
  • MediaPipe

Project Structure

vision-arcade
│
├── assets/
├── index.html
├── script.js
├── style.css
├── README.md
├── LICENSE
└── .gitignore

Installation

Clone the repository.

git clone https://github.com/kairavmurugesh/vision-arcade.git

Open the project in your preferred browser or local development server.


Future Roadmap

  • Additional arcade games
  • Improved gesture detection
  • Enhanced visual experience
  • Performance optimization

License

This repository is provided for portfolio and educational review purposes.

See the LICENSE file for details.


Author

Kairav Murugesh

About

A browser-based arcade platform featuring gesture-controlled games powered by real-time hand tracking and computer vision.

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