https://github.com/1810suman/ai_canvas

A real-time gesture-based drawing tool using OpenCV and Mediapipe. Supports freehand drawing, erasing, and shape recognition (circle, rectangle, line) with a virtual color palette and keyboard shortcuts.
https://github.com/1810suman/ai_canvas

ai-canvas handgesture-recognition mediapipe opencv python

Last synced: about 2 months ago
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A real-time gesture-based drawing tool using OpenCV and Mediapipe. Supports freehand drawing, erasing, and shape recognition (circle, rectangle, line) with a virtual color palette and keyboard shortcuts.

• Host: GitHub
• URL: https://github.com/1810suman/ai_canvas
• Owner: 1810suman
• Created: 2025-03-31T18:15:34.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-03-31T18:22:36.000Z (over 1 year ago)
• Last Synced: 2025-03-31T19:27:42.299Z (over 1 year ago)
• Topics: ai-canvas, handgesture-recognition, mediapipe, opencv, python
• Language: Python
• Homepage:
• Size: 5.86 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
🎨🖐️ AI_Canvas 




    This project is an AI-powered real-time hand gesture-based drawing application built using 

    OpenCV and Mediapipe. It allows users to draw, erase, and create shapes on a virtual canvas 

    using just their hand movements, making it an interactive and touchless drawing tool. 

    The application detects hand landmarks using Mediapipe, tracks fingertip positions, and enables dynamic drawing on a digital canvas.



✅ Key Features:



    


Freehand Drawing – Draw smoothly by moving your index finger.

    


Shape Drawing Mode – Create circles, rectangles, and lines using hand gestures.

    


Eraser Tool – Remove mistakes with a larger eraser size.

    


Color Selection – A virtual color palette at the top of the screen allows seamless color switching.

    


Real-time Hand Tracking – Uses Mediapipe Hands for accurate fingertip detection.

    


Smooth and Responsive Drawing – Combines OpenCV image processing with hand tracking for an optimal experience.

    


Keyboard Shortcuts – Easily switch between freehand drawing and shape modes (C - Circle, R - Rectangle, L - Line, D - Draw Mode).



🛠 Technologies Used:



    
Python

    
OpenCV

    
Mediapipe

    
NumPy





    Ideal for interactive art, educational tools, creative applications, and AI-based 

    gesture recognition projects. 🚀