Authors : Mr. N. V. Murali Krishna Raja; S. Swathi Rathnam; Ch. Sri Maha Lakshmi Aishwarya; Ch. Geetha Chandrika; M. Vyshnavi; T. Swathi Ratnam; K. Vedha Veekshita

Volume/Issue : Volume 10 - 2025, Issue 4 - April

Google Scholar : https://tinyurl.com/zfm2567f

Scribd : https://tinyurl.com/3x8avcz2

DOI : https://doi.org/10.38124/ijisrt/25apr827

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Abstract : An inventive device that enables hands-free computer interaction is the AI-Based Virtual Mouse, which uses generative AI and computer vision. Unlike traditional wireless or Bluetooth mice, which rely on physical components like batteries and dongles, this technology operates without the need for additional hardware. Instead, it recognizes hand gestures using an inbuilt camera or webcam, allowing users to move the cursor, scroll, and left- and right-click without actually touching a mouse. The system was developed in Python and uses OpenCV for computer vision tasks and generative AI models for gesture detection and fingertip tracking. Additionally, MediaPipe and OpenCV provide machine-learning methods for tracking hand movements and translating them into screen cursor movements. The system uses real-time video data to recognize and interpret hand movements to deliver accurate and efficient computer navigation. By eliminating the need for external input devices, our AI-powered virtual mouse enhances convenience and cleanliness while lowering hardware dependencies. Because of its effectiveness on a standard CPU, it is suitable for real-world applications and offers a creative, intuitive, and touch-free alternative to conventional computer interaction methods.

Keywords : AI Virtual Mouse, Hands-Free Computer Interaction, Computer Vision, Fingertip tracking, OpenCV, Hand Tracking, Cursor Control with Gestures, Real-Time Video Processing, Webcam Mouse Control, Gesture-Based Navigation.

References :

1. Alimul Rajee, Mohammad Likhan, Israth Jahan, Nurul Ahad Farhan, “Artificial Intelligence Virtual Mouse”, published in 2023, Research Gate.
2. Neerja Arora, “Artificial Intelligence Based Virtual Mouse using Hand Gestures”, published in 2023, GLIMPSE.
3. Shrinidhi Chintamani, Rutuja Bhad, Nikhil Deokar, Kalyani Kadam, Prof. Abhale, “AI Virtual Mouse Using OpenCV”, published in 2022, IRJMETS.
4. I. Puneeth, Prem Jacob, “Virtual Mouse Implementation using OpenCV”, published in 2019, ResearchGate.
5. Pooja Kumari, Saurabh Singh, Vinay Kr. Pasi, “Cursor Control using Hand Gestures”, published in 2016, IJCA.
6. E. Sankar Chavali, “Virtual Mouse Using Hand Gesture”, published in 2023, IJSREM.
7. Karan Kharbanda, Utsav Sachdeva, “Gesture Controlled Virtual Mouse Using Artificial Intelligence”, published in 2023, IRJMETS.
8. Mr. Devanshu Singh, “Virtual Mouse using OpenCV”, published in 2021, IJRASET.
9. Roshnee Matlani, Roshan Dadlani, Sharv Dumbre, Shruti Mishra, Abha Tewari, “Virtual Mouse using hand Gestures”, published in 2021, ICTAI.
10. Mr. K. Vikram Reddy, “Hand Gesture based Virtual Mouse”, published in 2021, IJRASET.
11. Ajay Sarwade, Gautami Sirsul, Shruti Salakar, Vrushali Chennur, “Gesture Recognition Based Virtual Mouse and Keyboard”, published in 2023, IJCRT.
12.  Manav Ranawat, Madhur Rajadhyaksha, Neha Lakhani, Radha Shankarmani, “Hand Gesture Recognition based Virtual Mouse Events”, published in 2021, INCET.
13. Sk. Jilani Basha, L.S.L. Sowmya, Sk. Rumiya, Sk. Afroz, “Virtual Mouse with Hand Gestures using AI”, published in 2023, IEEE (ICESC).
14. Anishamol Abraham, Neethu C Sekhar, Thomas Joseph, “Virtual Mouse using AI Assist for Disabled”, published in 2023, IEEE (AICERA/ICIS).
15. Aditi Khandagale, Nidhi Thakkar, Swarali Patil, Vaibhavi Jadhav, Charusheela Nehete, “Jarvis – AI Based Virtual Mouse”, published in 2023, IEEE (IConSCEPT).