Published Paper Details:

This project presents a gesture-controlled smart presentation system designed to enhance user interaction during slide-based presentations. By integrating computer vision and hand-tracking technologies using OpenCV, CVZone, and Mediapipe, the system enables users to navigate PowerPoint slides, annotate, zoom, undo, and highlight content via natural hand gestures. PowerPoint (.pptx) files are automatically converted into PDF and then to PNG images using LibreOffice and pdf2image, allowing seamless slide integration. A semi-transparent webcam overlay enhances presenter visibility, while gesture mapping allows real-time control--such as using specific finger patterns to switch slides, zoom, or activate a laser pointer. The system is built in Python and features a clean interface with minimal dependencies, optimized for real-time performance on standard webcams. This hands-free, intuitive approach to presentations is especially useful for educators, professionals, and remote presenters, providing an interactive and immersive experience without the need for clickers or manual input.