The project proposes a Gesture-Based Presentation Controller that allows users to control slides using hand gestures through a webcam, eliminating the need for keyboards or remote controllers. It uses computer vision and hand- tracking techniques to detect real-time hand movements and identify key landmarks such as finger positions and hand orientation. Predefined gestures are recognized by analyzing spatial relationships between fingers and joints, ensuring accurate interpretation of user actions. Recognized gestures are mapped to presentation commands like next/previous slide, slideshow control, and pointer movement by simulating keyboard and mouse inputs. The system includes gesture stabilization mechanisms to improve accuracy and is lightweight, cost-effective, and suitable for classrooms, corporate meetings, and professional presentations.