According to the CDC, cavities are one of the most prevalent chronic diseases of childhood in the US. About 1 out of 5 children aged 5 to 11 years have at least one untreated decayed tooth. Untreated cavities can cause pain and infections that affect every facet of children’s life, from eating, speaking, to playing and learning. Brushing teeth regularly has been proven to be the easiest and most effective way to help children develop strong healthy teeth. However, through many surveys conducted, a substantial number of children do not follow a regular routine of brushing their teeth and don’t know how to brush their teeth correctly. This particular problem can be attributed to the fact that children don’t find enjoyment in brushing their teeth and aren’t properly educated on how to brush teeth correctly. Realizing those particular issues with children’s tooth brushing habits and inspired by Dr. Jesus Del Valle’s vision of “gamifying” healthcare, we decided to build Brushy. Our web application provides a fun and interactive learning environment to help children find enjoyment in the process of brushing their teeth.

What it does

Our web application trained machine learning model to see if children are brushing their teeth correctly.

How we built it

We used machine learning to train different motions of brushing teeth. React.js for building the web app, mongodb for storing scores, GCP serverless functions for setting up a REST api, tensorflowjs for the ML model

Challenges we ran into

It's hard to sythensize our work as we live in different parts of the US.

Accomplishments that we're proud of

We had a functional ML model

What we learned

What's next for Brushy

Increase User Interface experience

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