Team Name:- Spectra Members:- 1)Narottam Choudhary 2)Tisha Thakral

Handy: Gesture Recognition Program

Handy is a Python-based gesture recognition program built using OpenCV and MediaPipe libraries. It provides real-time hand gesture recognition and tracking capabilities, allowing developers to incorporate gesture-based interactions into their applications or projects.

Features Real-time hand tracking: Handy leverages the power of MediaPipe's hand tracking module to accurately detect and track hand movements in real-time. Gesture recognition: It recognizes a set of predefined hand gestures, enabling developers to trigger specific actions based on recognized gestures. Customizable gestures: Developers can easily define and train their own gestures by capturing hand pose data and associating them with specific actions. Easy integration: Handy provides a simple and intuitive API, making it straightforward to integrate gesture recognition functionality into existing Python applications or projects.

Prerequisites To run Handy on your system, you need to have the following dependencies installed:

Python 3.8.x OpenCV MediaPipe You can install the necessary Python libraries using the following command:

Copy code pip install opencv-python mediapipe

Getting Started Follow the steps below to set up and run Handy on your local machine:

Clone the Handy repository from GitHub:

Copy code git clone https://github.com/your-username/handy.git

Navigate to the project directory:

Copy code cd handy

Run the handy.py script:

Copy code python handy.py This will launch the Handy application and start detecting and recognizing hand gestures.