Gesture-Enhanced Presentation Control for Education

Presentation skills are vital in many areas of life. Giving presentations is probably a common experience for anyone, whether they are a worker, student, business owner, or employee of an organisation. The requirement to manage and manipulate the slides with a keyboard or other specialised device might make presentations seem tedious at times. Enabling users to control the slideshow with hand gestures is the aim of this work. Gestures have become increasingly common in human-computer interaction in recent years. Several PowerPoint functionalities have been attempted to be controlled by hand movements by the system. This system maps motions using multiple Python modules and uses machine learning to identify motions with minute variances. Creating the perfect presentation is becoming increasingly difficult due to a number of aspects, including the slides, the keys to switching the slides, and the audience's composure. An intelligent presentation system that is based on hand gestures makes it simple to update or modify the slides. Allowing viewers to explore and manipulate the slideshow with hand movements is the technology's main objective. The technique recognises various hand motions for a variety of tasks using machine learning. A means of recognition opens up a line of communication between people and machines.