Kuol-Duot-Akier/SSSLRT

This is South Sudan Sign Language Recognition and Translation Project, Design and develop specifically for healthcare setting use # 🤟 South Sudan Sign Language Recognition System A real-time sign language recognition system built with Python, MediaPipe, and LSTM. The project is focused on recognizing key signs from South Sudanese Sign Language (SSSL), with practical applications in healthcare communication and accessibility. --- ## 📌 Project Objective The goal is to create an intelligent system that can: - Detect and recognize signs from short video sequences. - Translate sign gestures into readable text. - Support real-time predictions using webcam feed. This tool aims to assist medical workers and other service providers in effectively communicating with members of the deaf community in South Sudan. --- ## 🧠 Techniques & Tools Used - **Python** - **MediaPipe Holistic** – For extracting body, hand, and facial landmarks - **OpenCV** – For video processing - **NumPy & Pandas** – For data handling - **TensorFlow / Keras** – For building LSTM deep learning models - **Matplotlib/Seaborn** – For visualization and debugging - **Google Colab** – For training and experimentation --- ## 📁 Project Structure