This paper introduces an advanced system that seamlessly combines computer vision and speech recognition technologies for hands-free slideshow presentation management. By leveraging OpenCV, the system enables real-time hand tracking and gesture recognition, allowing users to navigate through slides with simple gestures, such as swiping left or right. Additionally, voice commands facilitate tasks like jumping to specific slides, deleting annotations, and other presentation controls, enhancing both accessibility and convenience. The system’s real-time annotation feature lets users draw directly on slides using hand gestures, adding a highly interactive element to presentations. The user-friendly graphical interface, built with Tkinter, simplifies folder and file selection, ensuring ease of use. Moreover, the shuttle library further streamlines file management, providing smooth operations during the presentation. This innovative approach offers a dynamic, hands-free, and interactive solution for managing presentations, catering to professionals, educators, and individuals seeking enhanced presentation capabilities in diverse settings.