DIY Sign Language Translator

The DIY Sign Language Translator system operates by capturing real-time visual data of hand gestures and processing them through a machine learning pipeline hosted on a Raspberry Pi 4 Model B. At the heart of the setup is the Raspberry Pi Camera Module, which continuously records video input of the user performing sign language gestures. This video stream is accessed via a web browser, such as Google Chrome, running on the Raspberry Pi OS. The core intelligence relies on a custom JavaScript application integrated with a Google Teachable Machine model. This model analyzes the incoming video frames locally, comparing visual features against trained sign language classes. Once a gesture is successfully recognized and classified, the corresponding translated text or spoken output is generated by the software. Finally, the translated output is rendered visually onto an attached display monitor, allowing observers or users to read the translated communication instantly. Connecting cables facilitate the necessary physical interfaces between the Raspberry Pi board, the camera module, and the display monitor to ensure seamless data transmission and power delivery throughout the entire assembly.