This repo contains the submission for Intel OneAPI Hackathon 2023
About: Hand Gesture controlled Presentation Slide using OpenCV is a project that aims to create an interactive way to control presentations using hand gestures. The project uses OpenCV, a popular computer vision library, to detect and recognize hand gestures in real-time. With this system, users can navigate through presentation slides using simple hand gestures without the need for a keyboard or mouse.
This project includes a Python implementation that uses the OpenCV library to track the hand movements and recognize different hand gestures. The system is capable of detecting various gestures like swiping left or right, pointing, drawing over slides and undo the mistakes. These gestures are mapped to specific actions using algorithms that control the presentation slides.
The Hand Gesture controlled Presentation Slide using OpenCV project provides a simple and intuitive way to interact with presentation slides. It is an ideal solution for professionals who want to deliver presentations without being restricted by a keyboard or mouse. The project is open source, and the code is available on Github, making it easy for anyone to contribute and enhance its capabilities