Author Name
Jiya Darvai, Muskan Sengar, Ankita Rajput, Mohit Kadwal
Abstract
This paper presents the design and implementation of an Air Canvas, a virtual drawing platform utilizing computer vision techniques to track hand and finger gestures. The system leverages Python, OpenCV, and MediaPipe to provide an intuitive user interface, enabling users to draw, annotate, or write without physical contact. Potential applications include interactive online teaching, collaborative brainstorming, and accessibility tools. This study highlights the algorithmic design, technical challenges, and performance evaluation of the system, aiming to contribute to the field of human-computer interaction and assistive technologies.