This paper presents a comprehensive study on the development and implementation of a virtual mouse system using hand gestures. With the rapid advancement of human-computer interaction (HCI) technologies, touchless interfaces have gained immense popularity. The proposed system eliminates the need for physical input devices by leveraging computer vision and machine learning techniques to interpret hand movements, translating them into cursor control and command execution. The research explores various methodologies, including hand tracking, gesture recognition, system integration, and deployment strategies, highlighting advancements, challenges, and future directions in the field. The objective of this study is to design an intuitive user interface, develop a robust gesture recognition model, and ensure seamless deployment across various platforms to enhance accessibility and usability.