Sign Language Translator Tool (SLTT)
A tool for translating the sign language alphabet into text and speech
A tool for translating the sign language alphabet into text and speech
The Sign Language Translator Tool (SLTT) was a third year university project aimed at creating a device to assist communication for the hearing impaired. The SLTT uses a Mediapipe model and a custom trained Tensorflow model to recognize hand gestures corresponding to the letters of the sign language alphabet. The recognized letters are then converted into text and speech using a text-to-speech engine.
The project was built using a Raspberry Pi 4, a camera module, and a touchscreen display. The device is portable and can be used in various settings to facilitate communication between sign language users and non-sign language users.
The SLTT was a solo project, with the hardware and software components designed and implemented by myself.
