As a machine learning engineer, Naa Lamle Boye has worked on projects that aim to make technology more inclusive and impactful. At Nokwary Technologies, she helped develop a system that allowed people to use voice commands in Ghanaian languages over WhatsApp for banking. The goal was to lower the barrier for people who are not fluent in English, or who may struggle with typing, to access essential financial services.
“People could send voice notes in their local language, and then the system could translate them into English on the backend and implement,” Boye explained.
As a research assistant at Ashesi University, Boye also worked on a project for the institution’s e-learning system: building a prototype for Ghanaian sign language translation. The system took audio input, converted it into text, and then used computer vision to animate Ghanaian sign language gestures for learners with hearing impairments. While still at the research stage, this project highlighted her passion for designing technology that expands inclusion and equity, ensuring no student is left behind.




