Draw in the air using OpenCV and Mediapipe's computer vision libraries! Built for edtech teachers to draw diagrams and charts in the air using just their fingers
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Updated
Jan 30, 2026 - Python
Draw in the air using OpenCV and Mediapipe's computer vision libraries! Built for edtech teachers to draw diagrams and charts in the air using just their fingers
AI-powered web app to draw in the air using hand gestures (OpenCV + MediaPipe) with a CNN model that guesses your drawing — built with Django
AI-powered virtual canvas. Paint and draw in the air using only your hand gestures without touching the screen!
🎨 An interactive, browser-based Air Canvas app powered by Next.js, Tailwind CSS, and Mediapipe. Draw and paint directly on your screen using real-time AI hand gestures and motion tracking.
Modular Computer Vision project for hand gesture recognition, sign language interpretation, and air-writing with integrated text-to-speech and automated emergency email alerts.
🖐️ Draw in the air without touching the screen using Python, OpenCV and MediaPipe hand tracking.
Draw in the air with a colored pen — real-time webcam color tracking, multi-color canvas, eraser, brush size, and PNG export via OpenCV
♨️🤏Hand-Draw Studio is an interactive Air Canvas application that enables real-time drawing using hand gestures and webcam input. Built with MediaPipe Hands, featuring smooth stroke rendering, color tools, undo/redo, eraser mode, and image export.
A touchless virtual drawing application using real-time hand tracking with Python, OpenCV and MediaPipe.
🎨 Real-time gesture-controlled drawing canvas. Built with Python, OpenCV for computer vision, and MediaPipe for hand tracking.
Air Canvas is an innovative real-time gesture recognition application that enhances communication for the deaf and mute. It features hand-tracking, color detection, and OCR technologies, enabling users to draw, write, and convert gestures into editable text in real time.
Gesture-controlled drawing application using Python, OpenCV, and MediaPipe.
A real-time virtual painting application using OpenCV and MediaPipe that lets you draw on a digital canvas by tracking your hand and finger movements via webcam. Features include multiple color selections, stroke management, and canvas clearing with intuitive hand gestures.It is designed for an interactive and perfect touch-free creative experience
Touchless drawing app using Python, OpenCV & MediaPipe — control a canvas with hand gestures
Real-time air handwriting recognition using computer vision - write in the air with your finger, see the text live on screen.
Draw in the air with hand gestures, real-time webcam tracking with OpenCV + MediaPipe. No physical pen required.
A Computer Vision Project (Air-Canvas) created using OpenCV a python Library
Air-canvaser, Draw in the air with your finger using real-time hand tracking powered by MediaPipe Hands.
Virtual Drawing
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