- As technology continues to evolve, the demand for intrusive Human-Computer Interaction (HCI) methods has intensified. In this context, the utilization of computer vision and Artificial Intelligence (AI) to create an AI virtual mouse system has emerged. This system aims to facilitate hands-free computer control through the analysis of hand gestures captured by a webcam. Traditional input devices, such as keyboards, are not always suitable for individuals with mobility challenges or in scenarios where hands-free interaction is preferred. Existing solutions often lack versatility or are cumbersome to implement. Addressing these limitations requires an innovative approach that integrates AI and computer vision technologies to create a seamless and responsive virtual mouse system. The proposed solution involves the development of an AI virtual mouse system that harnesses the power of computer vision, specifically utilizing the TensorFlow library for hand gesture analysis. The system employs a webcam to capture real-time video frames, processes them to detect hand gestures, and translates these gestures into meaningful computer commands. Key components include video frame processing, virtual screen matching, and Finger Detection Algorithms, culminating in an interactive and adaptive interface. Upon implementation, the AI virtual mouse system demonstrates the capability to interpret a variety of hand gestures, allowing users to control the computer seamlessly.