The demand for intuitive and natural human-computer interaction (HCI) methods has driven the exploration of gesture-based interfaces as an alternative to traditional input devices such as the mouse and keyboard. This paper introduces a novel virtual mouse system that leverages computer vision techniques to enable control through hand gestures. Using a standard webcam, the system captures hand movements, which are processed in real time to recognize and track gestures. These gestures are then translated into mouse commands, allowing users to perform tasks such as clicking, dragging, and scrolling. The paper aims to enhance accessibility and provide a more immersive and engaging user experience. Its applications extend to various domains, including virtual reality, gaming, and assistive technologies for individuals with disabilities. By eliminating the need for physical contact with input devices, the system promotes hygiene and reduces dependency on conventional hardware. The findings of the paper contribute to the rapidly growing field of gesture-based interfaces and highlight their potential to revolutionize natural user-interface development. The study demonstrates the feasibility of real-time hand gesture recognition for HCI, offering insights for further improvements in gesture-based systems. This innovative approach paves the way for more intuitive and user-friendly interaction methods, meeting the evolving demands of modern computing environments. By integrating accessibility, functionality, and adaptability, this system showcases the potential of gesture-based interfaces in advancing HCI technologies and addressing the needs of diverse user groups.