ASL Vision

• 

  Home page

• 

  Image capture

• 

  Image upload

• 

  Testing of the model

Description

We wanted to make a simple, clean, and helpful project. Even in today's technology-driven world, there is still a significant communication barrier when interacting with an individual who utilizes American Sign Language. This is our take on a potential solution to that communication barrier.

ASL Vision utilizes computer vision to interpret American sign language.

Challenges we ran into

• Training our CV model
• Incorporating our CV model into our project properly!
• Minor design issues
• Uploading to the Google Cloud database

Accomplishments that we're proud of

Each member of the team got to try something new. We all came in with different backgrounds and all picked up new skills and faced new challenges.

What we learned

• Google Cloud API interface and connections
• Machine Learning
• Front-end development
• Teamwork
• Converting images to base 64

What's next for ASL Vision

The future of ASL Vision would likely be an AR Glasses app. Being able to interpret ASL without having to pull your phone out and take a picture would be the best-case scenario. In addition, cooperating with Google translate to allow for easier access.

Built With

• bootstrap
• css3
• express.js
• git
• google-cloud
• html5
• javascript
• node.js