Inspiration
In the digital era, we are more reliant on auditory feedback than ever. We think that all people, regardless of ability, should be able to participate in this modern digital society.
What it does
This program takes input from the webcam and produces text corresponding to ASL signs.
How we built it
We used Python with the MediaPipe library to track the user's finger movements.
Challenges we ran into
We were not able to implement the text recognition portion of the program.
Accomplishments that we're proud of
We're proud of being able to use the MediaPipe library to access meaningful data and (for some of us) completing our first hackathon project.
What we learned
We learned that we need a focused objective to complete projects.
What's next for ASL Translator
Some of the group members are on a path to learn ASL. Also, Jayson is planning on extending ASL Translator's functionality and implementing the initial objectives.
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