pycaw

本项目计划用于2024成都理工大学CDUT人工智能协会技术培训使用

современный голосовой ассистент для Windows

✌️Using this you can control your PC/Laptop volume by Hand Gestures created with Python.

Control the volume up and down using the hand gesture with the OpenCV

A Hand Gesture Volume Control application made using OpenCV & Mediapipe

ControlMicTray is a Windows application that enables you to monitor and control your microphone seamlessly. It features an icon in the system tray to display the current status of your microphone, and offers a customizable hotkey for quick access and control.

An AI-based application which let us do tasks by moving our Hand in Air .It is developed in python using OpenCv and MediaPipe

A simple and easy-to-use Windows GUI tool to control headset left/right balance and enjoy an “8D” auto-panning audio effect.

⭐️ EarTrumpet | Volume Control App | Audio Mixer Installer v2.1 | Setup Keygen | Activation License Key | Full Version Pro Build | Latest Updated 2026 | Get Desktop Sound Management | Windows 10/11 PC | Direct Genuine Original Sound Control ⭐️

Using mediapipe library to control system volume

Windows per-app volume controller for keyboard volume keys, media buttons and USB volume knobs.

This is an innovative project on hand gesture recognition using machine learning techniques to control media playback functions. The project utilizes the MediaPipe framework for real-time hand detection and tracking, along with pyautogui and pycaw libraries for controlling keyboard, mouse, and audio functions. They provide Real-Time Processing.

Magic Session Mixer is a gui tool for live audio control and viewing of active audio sessions

A Hand Gesture Volume Control application made using OpenCV & MediaPipe

This project uses MediaPipe's Hand Landmarks for hand tracking and pycaw for audio control to adjust the system's volume by tracking the distance between the thumb and index finger.

Hand Gesture-Driven Volume System lets users adjust their computer’s volume using hand gestures, providing real-time visual feedback on a web interface. It combines gesture tracking, audio control, and live updates to create an intuitive and interactive experience.

Used OpenCV , Google's mediapipe to Track Hand Gesture to Control System Volume

This innovative project uses machine learning for real-time hand gesture recognition to control media playback. It integrates MediaPipe for hand detection and tracking, while PyAutoGUI and Pycaw enable control of keyboard, mouse, and audio functions.

System Volume Maximizer: A Python script that sets your system volume to 100% using the PyCaw library. It ensures your speakers are unmuted and maximizes the volume for a seamless audio experience.

Twinsync Media Player is a Python media player built with Tkinter. It supports simultaneous audio playback on multiple Bluetooth devices and includes play, pause, stop, and volume control. The player features a progress bar for tracking and uses PyAudio and Pycaw for smooth, multi-device audio management.