Hand Gesture Control for Automated Digital Presentations

This project integrates computer vision and gesture recognition techniques to develop an interactive slideshow navigation system. The program utilizes the OpenCV library for image processing and the CV zone library for hand tracking. Users can control the slideshow by performing specific hand gestures in front of a webcam. The system begins by allowing the user to select a folder containing PNG images, which are then sequentially renamed. The main functionality involves gesture-based control for navigating through the images in the slideshow. Hand gestures, detected using the Hand Tracking Module, are mapped to actions such as moving to the previous or next slide, erasing annotations, and showing and drawing pointers on the images. Additionally, the system provides real-time feedback by displaying the webcam feed alongside the slideshow. The interactive nature of this project makes it suitable for presentations or educational purposes where users can dynamically interact with the displayed content.