Bankrupt

Inspiration

People go bankrupt all the time and we want to prevent that happening.

What it does

Predict if the users goes bankrupt or not by looking at the historical user data, using Gaussian distribution and calculating the standard deviations. If the user right now deviates too much from this Gaussian distribution the chance will be high that he/she will go bankrupt.

How I built it

Using react-native framework for front-end and using python combined with sci kit, numpy to predict these models.

Challenges I ran into

How to perform these predictions. Creating the front-end in a nice model.

Accomplishments that I'm proud of

Created a program that included the minimal requirements of our project.

What I learned

How to work with multiple people in a short time, to fullfill a project created by a company.

What's next for Bankrupt