American Sign Language Reader
Project by Polygence alum Pranav
Project's result
I created a Transformer model that can understand American Sign Language and translate it to English.
They started it from zero. Are you ready to level up with us?
Summary
This experience-oriented project intends to allow the student to experience the workflow of a computer vision/ classification project with machine learning. This project is to complete a Kaggle competition that leverages machine learning to help hearing-impacted communities better communicate with people outside of the community. The project will use machine learning to interpret American sign language into English phrases so that it builds a bridge to connect the hearing-impacted community to other communities.
Michael
Polygence mentor
MS Master of Science
Subjects
Computer Science
Expertise
Applied Machine Learning, Large Language Model, WebDev, Data Analysis, SoftwareDev
Check out their profile
Pranav
Student
Hi! My name is Pranav Bhramasandra, and my project is centered around the use of Artificial Intelligence and Sign Language where I used a Transformer model to interpret ASL. I chose this project after I was inspired by the idea of being able to connect the verbal and non-verbal communities together. In the future, I hope my model can be used in a classroom to help someone make friends and communicate more easily.
Graduation Year
2025
Project review
“I think the speed of response was really fast, and I like the interface for the messages.”
About my mentor
“My mentor helped me a lot and recognized the time constraints we were under, so he adjusted the project accordingly.”