Volume 2 - Issue 2, March - April 2026

Human–computer interaction has significantly evolved with the development of artificial intelligence, computer vision, and speech recognition technologies. Traditional computer systems mainly rely on input devices such as keyboards and mice, which require continuous physical interaction. Although these devices are effective, they may not always provide a natural or convenient way for users to communicate with computers. In many situations, such as when users have limited mobility or when hands-free interaction is required, traditional input methods become less efficient. Therefore, there is a growing need for more intuitive and touchless interaction systems that allow users to control computers in a simpler and more natural way. This project presents a Gesture and Voice Based Interaction System that allows users to control a computer using hand gestures and spoken commands. The system uses a webcam to capture hand movements and a microphone to process voice instructions. Computer vision techniques are used to detect hand landmarks and recognize gestures, while speech recognition technology converts spoken commands into executable actions. The recognized inputs are mapped to system operations such as cursor movement, clicking, scrolling, and opening applications or websites. By integrating gesture recognition and voice control into a single platform, the proposed system provides a more flexible, accessible, and efficient approach to human–computer interaction.

Mohamed Hussain A, Sowmiyapriya V, "An AI-Enabled Gesture and Voice Based System for Natural Computer Interaction" International Journal of Advanced Multidisciplinary Research and Educational Development, V2(2): Page(269-272) Mar-Apr 2026. ISSN: 3107-6513. www.ijamred.com. Published by Scientific and Academic Research Publishing.