Wanted to try working with an API and using OAUTH with ML.
What it does
It is supposed to pull logged in customer data from a quickbooks account and determine relationships between periods of high spending and the sort of person prone to that kind of spending.
How we built it
The backend was written in node.js and express.js. The quickbooks npm repository was very helpful. Machine learning was supposed to play a part, but I wasn't capable of integrating it sufficiently.
Challenges we ran into
Accomplishments that we're proud of
Successfully using OAuth 2 and basic MVC architecture.
What we learned
A lot about async javscript
What's next for Intuit API - Customer Data Trends
Hopefully getting async to work and subsequently processing the data with some machine learning models and displaying it using some visual framework like react.js.