The problem FisCal solves

To help people become more financially independent by demystifying trading and the stock market and making them more accessible to people without a formal education in the field.
To create a simple financial assistant and portfolio manager that can abstract the complex financial data and present it in a simple processed manner along with AI generated recommendations.

Challenges we ran into

1.We had issues with the training time of the LSTM model we had originally created for the purposes of price prediction. It was taking too long to train and none of the stock pages would open without it training first.

2.We fixed this issue by replacing it with a Facebook Prophet trend prediction model which manages to fit in just a few seconds.

3.We had to build the wheel file for fbprophet as it is not suported by pip package manager.

4.Choosing the appropriate models for future stock predection.