About SpeechLess

This project is a real-time application designed to translate American Sign Language (ASL) into text. The goal is to enhance accessibility for individuals who are deaf or hard of hearing, allowing them to communicate effortlessly with others, including those unfamiliar with sign language.

Features

Real-Time Translation: Users can communicate in ASL, and the app translates their signs into text instantly.
Accessibility: Provides a platform for deaf and hard-of-hearing individuals to engage in conversations without the need for human interpreters.
Learning Tool: Offers a feature for users to learn how to sign by displaying the corresponding text for each sign made.
Comprehensive Communication: Supports both word-based and finger-spelling communication, making it versatile for various scenarios.

Technologies Used

Programming Language: Python
Machine Learning: Implemented using supervised learning techniques with Long Short-Term Memory (LSTM) networks.
Libraries:

OpenCV: For real-time image processing and hand tracking.

Mediapipe: For hand gesture recognition and tracking.

TensorFlow/Keras: For building and training the LSTM model.

See for Yourself

Check out my Project Book to see the full process I followed to achieve my goals and bring the project to life. It includes detailed explanations and screenshots. Plus, it's in Hebrew—so no judgment! :)

Take me to see

Check out the main code at my GitHub profile - Take me there

Visit my App - SpeechLess