Computer vision based hand gesture controlled mouse pad and volume controller for the Windows OS with speech to text typing functionality

Computer Vision Volume Controller with Hand, OpenCV and Mediapipe

Hand Gesture System Controller 🖐️✨ Control your computer like a conductor! Wave your hands to adjust volume and brightness with this magical computer vision application.

Hand Gesture Music Controller using Computer Vision to control speed, pitch, and volume in real time with OpenCV and MediaPipe.

Gesture-Based PC Controller lets you control your computer with hand gestures using your webcam. It uses computer vision to enable hands-free actions like moving the mouse, scrolling, and adjusting volume or brightness.

This project leverages computer vision and machine learning to interpret hand gestures and movements, enabling interaction with volume device of your pc without the need for physical controllers.

This project uses computer vision and hand tracking to create a gesture-based volume controller. With OpenCV and MediaPipe, it tracks hand movements through a webcam and measures the distance between the forefinger and middle finger to adjust the volume up or down.

An AI-powered gesture-based volume controller that uses computer vision to control system volume through hand gestures. Built with Python, OpenCV, MediaPipe, and Pycaw, it detects finger distance in real-time and maps it to volume levels, offering an intuitive touchless control experience.

A real-time gesture-based DJ controller that uses computer vision to map hand movements to audio controls. Mix and blend two songs while adjusting volume, vocals, bass, and treble through touchless hand gestures with live visual feedback.

A Python application that lets you control your computer with hand gestures in real-time. This project uses the power of computer vision to turn your webcam into a motion controller. By recognizing specific hand gestures, you can perform actions like controlling media playback (play/pause), adjusting volume, or navigating presentations.

I am a passionate developer skilled in web development and computer vision. My portfolio includes a Task Management System with role-based functionalities, a Grocery Shopping Website for streamlined e-commerce experiences, and a Volume Controller project using hand gestures with OpenCV. I am dedicated to creating innovative and efficient solutions.