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.