AirRead

A touch-free document navigation system using computer vision and real-time hand gesture recognition.

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Overview

AirRead is a computer vision application that enables users to navigate digital content through natural hand gestures.

By combining MediaPipe hand tracking with OpenCV, the system detects user movement in real time and converts gestures into document navigation commands, reducing reliance on traditional input devices.

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Motivation

The objective of AirRead is to explore more natural forms of interaction between people and digital content while demonstrating practical applications of computer vision for accessibility and productivity.

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Key Features

• Real-time hand tracking
• Gesture recognition
• Touch-free navigation
• Lightweight implementation
• Fast response time
• Cross-platform compatibility

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Technology Stack

• Python
• OpenCV
• MediaPipe

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Project Structure

airread
│
├── assets/
├── airread.py
├── hand_landmarker.task
├── requirements.txt
├── README.md
├── LICENSE
└── .gitignore

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Installation

Clone the repository.

git clone https://github.com/kairavmurugesh/airread.git

Install dependencies.

pip install -r requirements.txt

Run the application.

python airread.py

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Future Roadmap

• Additional gestures
• Improved tracking stability
• Multi-document support
• Accessibility enhancements

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License

This repository is provided for portfolio and educational review purposes.

See the LICENSE file for details.

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Author

Kairav Murugesh