Fall 2022
I2T-ASL:
AI Hackathon Project
I2T-ASL, aka Imagine-to-Text American Sign Language, is a project created for the 24 hour Artificial Intelligence (AI) days Hackathon, hosted by the University of Florida. The program uses a custom-made trained model to recognize American Sign Language (ASL) numbers from 1 - 9. Then it would show four images, developed with Stable Diffusion using a prompt related to ASL and the number which was identified. The project won 'Honorary Mention'. ​Our aim for the program is to recognize full ASL sentences and generate original AI art through the text interpretation. This way, we bring an artistic voice to the Deaf Community.
Media and Links
Video of our Project:
See the process of logging in, submitting a fortune, receiving a fortune, and viewing your past fortunes and profile page (captions included):

Welcome page, which is what you see when you first load the page

Login was done through google, as the third-party authenticator.

Visualization of what is happening in the back-end and the database.

Welcome page, which is what you see when you first load the page
Generated Example Images
Each time a number was identified, four images would appear corresponding to that number. These images were generated through Stable Diffusion, a prompt-based deep-learning image model.



