Sign Language Recognition

This project utilizes computer vision techniques to recognize and interpret sign language gestures in real-time using a webcam.

Getting Started

Follow these steps to set up the project on your local machine:

Prerequisites

• Python installed on your system. You can download and install Python from the official website: Python.org.
• Jupyer Notebook pip install notebook

Installation

1. Clone the repository to your local machine:

   git clone https://github.com/your-username/sign-language-recognition.git
   

2. Navigate to the project directory and open terminal and cd to the project directory

3. Install the required libraries: pip install -r requirements.txt alternatively you can install the libraries using pip install mediapipe opencv-python pyttsx3 pillow

Running the Project

1. Launch Jupyter Notebook from cmd --> jupyter notebook
2. Open the project notebook (.ipynb file) in Jupyter Notebook.
3. Run code cell in the notebook to run the project.
4. the program should be running and ready to take your inputs, please refer to the 5_demo.mp4 to see how to use the GUI of the program

Project Structure

• Sign Language.ipynb: Jupyter Notebook containing the main project code.
• README.md: Documentation providing instructions and information about the project.
• requirements.txt: List of required Python libraries for easy installation.