We were inspired by the power of bioinfromatics and how our genes can have drastic impacts on our health. We hope that by better educating people about their genetic code, they might be able to make smarter decisions in early detection and prevention in serious diseases.

What it does

Vital Sines takes a user's genome data as a SNP file and converts it to a JSON file. It then runs webmaster written genome rules to return a user's predisposition to certain genetic traits. The rules are uploaded to the Parse backend and then queried when a user uploads their genome.

How we built it

The backend was built using Node.js and Express.js with a front-end using Materialize.css, a CSS library based on Google's Material Design standards.

Challenges we ran into

Not enough caffeine, getting large enough datasets for Metamind, naughty jQuery and pizza/pie tyranny. We also wanted to use Metamind to detect healthy vs. unhealthy eyes, unfortunately it would take too much time to train the AI so the feature was cut from the final version.

Accomplishments that we're proud of

The interface and backend for adding new genome rules via Parse is impressive. The dynamic tests that can be ran as a result are even more impressive. The whole application is asynchronous and uses a self-built RESTful API.

What we learned

How to make a polished Node.js application. How to asynchronously upload files and display data.

What's next for Vital Sines

Potential for auto generating tests using SNPedia and allowing users to further filter test results. Potential extensions could use Metamind to detect healthy vs. unhealthy eyes and the addition of fitness data.

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