Virtual Keyboard with Hand Gesture Recognition

This project implements a virtual keyboard controlled by hand gestures using OpenCV, MediaPipe, and Python. The user can type on a virtual keyboard displayed on the screen using hand gestures, such as pinching the thumb and index finger together to "click" on a key.

Features

• Hand Gesture Recognition: Detects hand movements using MediaPipe and responds to gestures such as pinching the thumb and index finger to select keys.
• Interactive Virtual Keyboard: A dynamic on-screen keyboard that updates the typed text.
• Web Search Integration: Allows the user to perform a Google search by typing the desired text and pressing the "SEARCH" button.
• Backspace Functionality: Users can delete the last typed character by pressing the "BACK" button.
• Full-Screen Layout: The keyboard layout adjusts dynamically to the screen size.

Requirements

• Python 3.x
• OpenCV
• MediaPipe
• NumPy

You can install the required dependencies using pip:

pip install opencv-python mediapipe numpy