We set out to create a device that uses machine learning to perform language translation. Our goal was to create a tool that would teach non-STEM majors about how technology is used to translate from one language to another.
To build the tool, we chose hardware parts that work well together. The central processing chip provides the device with open internet access for real-time translations. The circuit board allows for flexible testing and organizing of parts. A user-friendly touch display allows for easy input and viewing of text, while a microphone allows for clear speech capture.
The “brain” of the device is the central piece of the project, thanks to its powerful yet easy to use features and ease of programming. Our device uses an AI model to perform text-to-text, speech-to-text, text-to-speech and speech-to-speech translation. We used an API (application programming interface), to deliver real-time translation to users. We reached our goal of teaching others how complex technology can be incorporated into everyday use. The project brings the wonders of AI and language translation closer to all students, no matter their background.
Megan Brais, Jadarrian Brown, Joshua Brown, Sydney Dudek, Aireyona Mercer, Naela Luna
Shonda Bernadin, Ph.D. and Lisa Ryoko Wakamiya, Ph.D.
Department of Electrical & Computer Engineering
Spring