With the help of OS and Python, we try to use hand signals for controlling our media player in the project. Computer programs require human and computer interaction. Dialects in phonetics that include non-verbal communication sometimes involve hand motion. The use of the hand as a tool for human computer communication makes it simple. Collaboration would be interesting if hand gestures could be used to control machinery. Motion acknowledgment has grown to be quite important. Different apps, including Windows Media Player, robot control, gaming, and others, are controlled by hand signals. Utilising motion facilitates connecting and eliminates the need for a separate device. Recognition of sound and vision function together. In any case, noisy environments may prevent sound orders from being effective. Working with a computer in some manner is a frequent task in this day and age. The suggested online application allows users to operate media players and other similar programs by identifying their gestures using the camera on their local device. The keyboard and mouse are often the main input devices. However, there are a number of issues with using the same interaction medium excessively, such as health issues brought on by constant input device use, etc. Humans use gestures to express their emotions because it seems like the most natural way to do so. The movements feel more natural in comparison to using external devices like a mouse and keyboard. The project’s stated objective is to enable normal media player controls to be used with hand gestures. This study presents a hand movements system for computer media player systems. One of the essential components for interacting with a smart device is hand gestures. We made use of a computer media player’s hand gesture recognition system to control the volume up/down, the next song, etc. By enabling remote control of the user’s laptop or desktop, it improves efficiency and streamlines engagement. .