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hawaAI

hawaAI is an innovative air mouse tracker for laptops that uses hand gestures to control the cursor. This project leverages advanced computer vision and machine learning techniques to provide a hands-free computing experience, making it ideal for presentations, gaming, and various interactive applications.

Features

  • Hand Gesture Recognition: Control your cursor using hand gestures with high accuracy.
  • Customizable Gestures: Supports multiple gestures for different mouse actions:
    • Pinch index and thumb: Left Click
    • Pinch middle and thumb: Right Click
    • Pinch index and middle: Double Click
  • Real-time Performance: Smooth and responsive cursor movements based on hand position.
  • User-Friendly Interface: Simple display with help instructions on available gestures.

Technologies Used

  • Python
  • OpenCV
  • Mediapipe
  • PyAutoGUI
  • NumPy

Requirements

Before running the project, ensure you have the following installed:

  • Python 3.x
  • pip

You can install the required Python packages using the following command:

pip install opencv-python mediapipe pyautogui numpy

Getting Started

Clone the Repository:

git clone https://github.com/gunjjoshi/hawaai

Change into the project directory:

cd hawaai

Run the Application: Make sure your camera is connected and functioning, then run:

python main.py

Using the Application:

  • Follow the on-screen instructions to control the mouse using hand gestures.
  • Press the ESC key to exit the application.