We wanted to create a business model through which companies and customers could be paired without having to go out of their way to get out of their comfort zones or market the life out of their products.

What it does

This service uses machine learning to pair people with certain demographics to products that may be attractive to them based on their rating and purchases of previous products.

How we built it

We created data from scratch running several python scripts, created the front end in angular, ran the machine learning models in azure and weka, and created an android app with flutter.

Challenges we ran into

Using azure for the first time and creating huge data sets with information relevant enough while properly handling them were several new things. Moreover, it is our first time utilizing flutter for a hackathon.

Accomplishments that we're proud of

What we learned

What's next for goodibox

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