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Virtual Keyboard using Hand Gestures (OpenCV + MediaPipe)

This project implements a virtual keyboard that can be controlled using hand gestures captured via a webcam. Instead of pressing physical keys, you can move your hand and perform a pinch gesture (index + thumb) to press keys. The keyboard appears on the screen, and detected inputs are simulated on your computer (you can type in Google, Notepad, etc.).

✨ Features

-> Virtual on-screen keyboard

-> Hand tracking using MediaPipe

-> Pinch gesture detection to press keys (avoids unwanted presses)

-> Keys are highlighted when selected

-> Works with any application (browser, text editor, etc.)

🛠️ Tech Stack

OpenCV – computer vision and drawing the keyboard

MediaPipe – hand landmark detection

PyAutoGUI – simulate key presses

NumPy – array operations

📦 Installation

Clone the repository:

  1. git clone https://github.com/your-username/virtual-keyboard-gesture.git

  2. cd virtual-keyboard-gesture

Environment Setup:

Install Python (3.9 or higher recommended)

Download Python and make sure python and pip are added to PATH.

Create a virtual environment:

  1. python -m venv venv

  2. Activate the virtual environment

On Windows:

venv\Scripts\activate

On Mac/Linux:

source venv/bin/activate

Upgrade pip (recommended)

  1. python -m pip install --upgrade pip

Install dependencies:

  1. pip install -r requirements.txt

▶️How to Run

Run the following command:

  1. python run_keyboard.py

⌨️ Usage

-> Show your hand to the camera.

-> Move your index finger over the on-screen keyboard to select a key.

-> Perform a pinch gesture (thumb + index) to press the key.

-> Press q to quit the program.

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