KALI: A Hand Gesture Based Approach to Control PowerPoint Presentation

A PowerPoint presentation is an effective way of delivering a message to the audience. As a part of the presentation, using traditional devices such as a mouse, keyboard, touchscreen, or pen are common scenarios. Hand gesture is a common mean of controlling computer vision in the modern era. Using hand gestures for controlling the activities will simplify PowerPoint presentations. We developed a novel hand gesture-based application KALI, that can swiftly help the presenter to change their slides, zoom in and zoom out the contents of the slide, and draw and erase on the slide. We use machine learning algorithms and openCV to bolster our application and provide the users with a pro-interactive experience to ease their jobs and provide a high level of user satisfaction and user-friendliness. This paper presents a review of the current state of the art in hand gesture systems for PowerPoint presentations. This research discusses the different types of hand gesture systems that have been developed, as well as the advantages and disadvantages of each approach. The paper also discusses the challenges that need to be addressed in order to make hand gesture systems more widely adopted. We have surveyed the students of Auburn University at Montgomery and figured out the user needs. This survey helped us make a concrete application that will overcome the burden of using a keyboard, clicker, or mouse while teaching in class. Finally, we also discuss how we are going to add more features like video streaming, volume control, and a better auditory impact on the users and the audience to strengthen our novel gesture-based application KALI.