American Sign Language Reader
Project by Polygence alum Pranav
![American Sign Language Reader](https://images.polygence.org/image?quality=75&width=640&url=https%3A%2F%2Fdpl6hyzg28thp.cloudfront.net%2Fmedia%2F1200px-American_Sign_Language_ASL.svg_1.jpeg)
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](https://dpl6hyzg28thp.cloudfront.net/media/5f5cbd19-53e.jpg)
Michael
Polygence mentor
MS Master of Science
Subjects
Computer Science
Expertise
Applied Machine Learning, AI (Computer Vision), Python GameDev, WebDev, Data Analysis, SoftwareDev
Check out their profile
![Pranav](https://dpl6hyzg28thp.cloudfront.net/media/03333d78-8c76-41f3-bb84-cad9d3ea0027.jpg)
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.”