GitHub / Arjun-08 / Hand-gesture-recognition-using-Machine-learning-techniques
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.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Arjun-08%2FHand-gesture-recognition-using-Machine-learning-techniques
PURL: pkg:github/Arjun-08/Hand-gesture-recognition-using-Machine-learning-techniques
Stars: 1
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 7.81 KB
Dependencies parsed at: Pending
Created at: almost 2 years ago
Updated at: about 1 year ago
Pushed at: about 1 year ago
Last synced at: about 1 year ago
Topics: hand-gesture-recognition, machine-learning-algorithms, media-control, mediapipe, pyautogui, pycaw