Virtual-AI-Keyboard

In this Project I havr created a Virtual AI Keyboard that tracks your hand gestures and positions to execute the type command.

Useful Libraries:-

• cvzone (comes with numpy and opencv)
• mediapipe (backend for our handtracking module).

Requirements:-

• opencv-python
• numpy
• cvzone
• pynput

HandTrackingModule:-

• Uses OpenCV and MediaPipe to detect and track the hand using the "Hand Landmark Model".
• OpenCV is a library used for computer vision applications. With help of OpenCV, we can build an enormous number of applications that work better in real-time. Mainly it is used for image and video processing.
• MediaPipe is a framework mainly used for building audio, video, or any time series data. With the help of the MediaPipe framework, we can build very impressive pipelines for different media processing functions.
• Hand Landmark Model

Click:-

• In order to simulate a click, you need to connect the index and middle fingers on your hand

Keyboard Layout:-

Demonstration Video:-

Virtual.Keyboard.Demo.Video.mp4