We want to help everyone to be able to communicate with each other.

What it does

Translates sign-language into American-English audio

How we built it

We use the camera to record the movements of the hands. Then we use machine learning and computer vision to match the patterns with English words.

Challenges we ran into

Limited time and hardware resources

Accomplishments that we're proud of

Most of us are new to computer vision and machine learning and with time and technology limit, we could still be able to reach our goal

What we learned

Through trials and errors, we've learned how different kinds of computer vision and machine learning algorithms work and successfully apply those algorithms to our project.

What's next for MagicHand

We will continue in this research project to increase the number of words in the dictionary and make the recognition more stable. Our goal is to help as many people as possible.

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