Enhancing Interactive Presentation Systems Using AI-Based Vision Gesture Recognition

Abstract – Traditional classrooms use control devices such as keyboards, mouse, and laser pointers. These devices limit interaction and flexibility for the presenter. This research paper presents an AI-based vision gesture recognition system focused on improving presentation control and maintaining the presenter’s flow. The proposed system uses computer vision to detect hand gestures, allowing users to control slides and perform drawing actions without any physical contact with devices. The system is developed using computer vision techniques and trained gesture patterns to ensure smooth and accurate interaction. The proposed approach enhances reliability, reduces dependency on external devices, and provides a more natural presentation experience. Key Words: Gesture Recognition, Computer Vision, AI-Based Interaction, Interactive Presentation, Vision-Based Control