What it does

Trained on 87.5k images from the Kaggle dataset. It can successfully classify all the alphabets of the ASL with an accuracy over 98%.

How we built it

Leveraging fastai and Kaggle dataset

Challenges we ran into

Augmenting images from individual batches to increase accuracy.

Accomplishments that we're proud of

A very high accuracy using resnet50 architecture!

What we learned

Data augmentation and how it affects accuracy.

What's next for Sign Language Translator

Try to deploy the model.

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