Goldrush

Inspiration

We wanted to build an application that simplified investing for everyone and allowed people to bypass the need for traditional banks.

What it does

Our state of the art application uses a machine learning algorithm to give each user perfect-fit investment options to match their preferences in an easy, informative way. Users are given a custom feed for investment options that adjusts to their tastes. We also provide opportunities for individuals with limited access to build their credit through in-app micro-loans.

How we built it

We built our application using Angular.js for the frontend and Flask for the backend. The machine learning neural network was built using TensorFlow.

Challenges we ran into

We had many features in our original idea that we did not get to finish implementing fully.

Accomplishments that we're proud of

We're very proud of our machine learning model that we were able to complete in a short amount of time. The functionalities we do have look nice and also work well.