• Avantika Ram Ladwane
• Suraksha Dhaske
• Dipali ugalmugale
• Sharayu Bhandekar
• Prof. Mugdha Rane

In this Paper, computer vision has advanced to the point where a machine can recognize its owner by running a straightforward picture processing application. People are employing this in this period of growth because of vision in a variety of everyday activities, including Face Recognition, Colour Detection, Autopilot Cars, etc. In this paper, computer vision, or a camera, will be utilized to recognize hand gestures to create a virtual mouse and keyboard. The computer's camera will scan the image of various hand gestures made by a user, and the computer's mouse cursor will move and even carry out various functions using various movements under the gestures. Similar to how some other motions can be used to access keyboard features. Without a wire or other external devices, it will function as a virtual mouse and keyboard. The laptop webcam is its sole piece of hardware, and Python is used for development. This project will use cutting-edge Machine Learning and Computer Vision algorithms to recognize hand movements, and it operates without the need for any additional hardware.

Face Recognition, Machine Learning, Virtual Mouse And Keyboard Anaconda Platform

"OPERATING VIRTUAL MOUSE AND KEYBOARD USING GESTURES RECOGNITION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.n118-n121, May-2023, Available :http://www.jetir.org/papers/JETIR2305D22.pdf

"OPERATING VIRTUAL MOUSE AND KEYBOARD USING GESTURES RECOGNITION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppn118-n121, May-2023, Available at : http://www.jetir.org/papers/JETIR2305D22.pdf