Inspiration
To help create awareness for multilanguage communication and equal opportunity for everyone.
What it does
Helps understand American Sign Language for people who may not know.
How we built it
We built it using Python with object detection deep learning models.
Challenges we ran into
Setting up dependencies for deep learning object detection model.
Accomplishments that we're proud of
Enabling communication between ASL speakers and native English language speakers.
What we learned
We learned more about deep learning and object detection.
What's next for Sign Language Translator
If we had more time, we would look into providing an API for developers to integrate with existing applications such as Teams or Google Meet.
Built With
- python
- tensorflow
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