Sign Language Detection

Overview

This project focuses on detecting sign language gestures using machine learning techniques. The implementation is provided in the Action Detection Refined.ipynb Jupyter Notebook, which covers data preprocessing, model training, and gesture recognition.

Project Structure

• Action Detection Refined.ipynb – Jupyter Notebook containing the complete workflow for sign language detection.

Technologies Used

• Python
• Jupyter Notebook
• OpenCV
• TensorFlow / MediaPipe (or other libraries you used)

How to Run

1. Clone the repository:

   git clone https://github.com/MPradeep-08/Sign_Language_Detection.git
   cd Sign_Language_Detection
   

2.Open the notebook:

jupyter notebook "Action Detection Refined.ipynb"

3.Run the cells step by step to preprocess data, train the model, and test sign detection.