Inspiration
Social Good
What it does
ESLR ASL AI translates text into American Sign Language (ASL) to help visually impaired users "read" in the online world. It bridges the gap between written content and ASL, creating a more inclusive internet experience.
How we built it
We built the front end using Next.js, which allowed us to create a highly responsive, interactive user interface. The back end is powered by Python, JavaScript, and additional supporting languages handling seamless interactions between client and server.
Challenges we ran into
One of the major challenges we encountered was the implementation of a large database. The storage and retrieval of extensive data sets can be resource-intensive, and we faced additional costs from GitHub for hosting our data. Despite these obstacles, our team worked collaboratively to troubleshoot and refine our solutions, ultimately leading to a successful implementation of the application.
Accomplishments that we're proud of
We’re proud to have built a full-stack application with both web and Chrome extension support within such a short timeframe. This accomplishment shows our skills to building a well-rounded, accessible product that’s ready for real-world use.
What we learned
From front-end and back-end integration to Chrome extension development, we learned a broad range of new technical concepts. Most importantly, we learned the value of teamwork and effectively communicating our individual skills to bring this project to life.
What's next for ESLR ASL AI
What's next for ESLR ASL AI is to expand our database and improving our accuracy, as well as improve user interface to provide a more user friendly experience to those who need it!
Video on Loom https://www.loom.com/share/3cdb8f8edc7d4757840a7ad8ed921df1?sid=ef4eb09e-34c3-4d5e-aac3-636e153fd296
Built With
- blender
- fastapi
- javascript
- nextjs
- postman
- python
- railway
- three.js
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