• Priyanka K P
• Shruthi S Nayak
• Sushmita D
• Tejaswi Shriram Naik
• Deepthi P Dsouza

This paper introduces a gesture-based system that controls presentation slides using hand gestures captured via a webcam. Traditional input devices such as keyboards or presentation remotes constrain mobility and interaction during presentations. Our proposed system leverages computer vision techniques to detect and interpret hand gestures in real-time, offering a touch-free solution to navigate slides. It uses Python, OpenCV, and PyAutoGUI to process visual inputs and simulate keystroke actions such as 'Next' and 'Previous' slide commands. The system is cost-effective, user-friendly, and performs reliably under varied lighting and background conditions. This study demonstrates that intuitive interfaces can enhance user interaction in academic and professional environments.

Hand Gesture Recognition, Human-Computer Interaction, OpenCV, PyAutoGUI, Slide Control, Presentation Automation.

"HAND GESTURE SCREEN SLIDE PRESENTATION CONTROL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.306-311, July-2025, Available :http://www.jetir.org/papers/JETIRGX06056.pdf

"HAND GESTURE SCREEN SLIDE PRESENTATION CONTROL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. pp306-311, July-2025, Available at : http://www.jetir.org/papers/JETIRGX06056.pdf