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A new style of teaching: Exploring the benefits of visual language learning

Yuna S.

This project was designed to investigate the efficiency and likelihood of people learning a new language through means of an AI that would help translate objects in day to day life to a language that the user would want to learn.


This project was designed to investigate the efficiency and likelihood of people learning a new language through means of an AI that would help translate objects in day to day life to a language that the user would want to learn. This specific project would help to benefit a better understanding of languages and enable the user to have better connection and communication skills with others. The overall approach taken to achieve this goal came in the form of two parts: object detection and natural language processing (NLP). The first part contained training the AI on certain categories of objects which would then be put through the second part of the AI, the translation. The user would also be able to interact with the AI by inputting their own data and selecting a certain language they would like to learn. The AI was seen to have around a 35% accuracy rate in determining the correct image but had a few errors when encountering the translation side of things. Regardless, some important conclusions were that the AI was successful in being able to translate languages and would certainly help people in their language learning endeavors.

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Yuna S.
Shreya Parchure
MD-PhD student at UPenn

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