Inspiration

we love emoji

What it does

We analyze user's input facial expression and return an close matched emoji

How we built it

We crawled data from CMU Cohn-kanade database, and build the model on Clarifai. Then we wrote the front end that allow user to upload or take real-time video stream to get feedback from Clarifai api.

Challenges we ran into

Building the proper training model for facial expression

Accomplishments that we're proud of

We improved traditional facial recognize model with weighted algorithm.

What we learned

Clarifai Api, Computer vision, python, javascript

What's next for Emoji Matcher

Integral more facial expressions with higher accuracy.

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