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International Journal of Computational Science and Engineering Research
Volume 1, Issue 4 (October-December)
Article type: Original Article
Published: 22 September 2026 |Pages: 16 - 19 |ISSN: 3107 - 8605
https://doi.org/10.63328/IJCSER-V1RI4P4
Copyright © 2024 T Somasekhar et al.
International Journal of Computational Science and Engineering Research
Open Access publication.

Gestured Control Virtual Mouse with AI Chatbot

T SomasekhariD1, P Phani BhushaniD2, O Ravi KumariD3, K Vamsidhar ReddyiD4, and A Uday VardhaniD5

Abstract

The Al Virtual Mouse uses computer vision techniques to track hand movements and translates them into cursor movements on the screen. The system is designed to be intuitive and user-friendly, allowing users to interact with their computer without the need for a physical mouse. The virtual mouse is developed using Python and OpenCV libraries. The project includes the implementation of various image processing algorithms, such as hand segmentation, feature extraction, and classification. Moreover, it is robust to various lighting conditions, backgrounds, and hand sizes. The developed system provides an alternative to conventional mouse devices, particularly for individuals with disabilities or those who prefer a more natural way of interacting with their computers. The target of this project is the invention of something new in the world of technology that helps an individual work without the help of a physical mouse. It will save the user money and time.

Keywords: Gesture recognition, CNN algorithm, OpenCV, Mediapipe, Virtual Mouse, AI chatbot

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How to cite this article

T Somasekhar , P Phani Bhushan , O Ravi Kumar , K Vamsidhar Reddy , A Uday Vardhan , “ Gestured Control Virtual Mouse with AI Chatbot “, International Journal of Computational Sciences and Engineering Research (IJCSER) , Volume 1, Issue 4 , pp 16 - 19 , October 2024. CrossRef DOI: https://doi.org/10.63328/ijcser-v1ri4p4