Virtual Hand Painter

A computer vision-based application that allows users to draw digitally using only hand gestures. The project leverages MediaPipe for hand tracking and OpenCV for real-time video processing.

Features

Real-time Hand Tracking with Machine Learning

• Uses MediaPipe’s deep learning-based hand tracking model to detect and track hand landmarks in real-time.
• Identifies key hand positions and maps gestures to drawing actions with high accuracy.

Multiple Drawing Modes

• Freehand Drawing: Move your index finger to draw continuous strokes.
• Rectangle Mode: Draw precise rectangles using hand gestures.
• Circle Mode: Create circles by defining center and radius with hand movements.
• Straight Line Mode: Draw straight lines between two tracked points.

Gesture-based Full Canvas Clear

• A specific hand gesture clears the entire drawing canvas instantly.

Screenshot and Save

• Capture your artwork and save it as an image file for future reference.

Machine Learning-powered Efficiency

• Lightweight deep learning model enables fast hand tracking without requiring a dedicated GPU.
• Computer vision algorithms optimize gesture recognition and stroke rendering.
• Highly responsive drawing system ensures minimal lag between gesture recognition and visual output.

Technologies Used

• Python – Core programming language
• OpenCV – For computer vision processing
• MediaPipe – Deep learning-based hand tracking