Innovative Real-Time Air Drawing App Using Computer VisionInnovative Real-Time Air Drawing App Using Computer Vision
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I developed a real-time Air Drawing Application that uses Computer Vision to transform hand gestures into digital input. By utilizing a standard webcam, the app allows users to draw, erase, and select colors in mid-air without any physical contact with the screen.
Key Technical Features:
Hand Tracking: Integrated MediaPipe to track 21 specific hand landmarks with high precision and near-zero latency.
Gesture Logic: Programmed custom state-switching—using a single index finger for "Drawing Mode" and a two-finger gesture for "Selection Mode" to navigate the UI.
Real-time Rendering: Leveraged OpenCV for video processing and to create a dynamic, responsive canvas overlay.
This project demonstrates my ability to build Human-Computer Interaction (HCI) tools and implement real-time AI solutions using Python.
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