Inspiration
Our team was interested in API applications from a workshop that we attended at HackUTD, so it became our inspiration for pursuing this project.
What it does
Risk Analyzer is supposed to calculate the percentage of risk in according to the APIs we chose out of the list that Goldman Sachs provided. Our program will prompt the user for .csv files to upload. Then, it will read through them, process the data, and calculate the investment risk.
How we built it
Our team built Risk Analyzer using Python and utilized libraries suck as tkinter for the GUI and (HTTP) requests for the APIs' integration.
Challenges we ran into
We do not normally code in Python, so this was a beginner experience for us. Some of the challenges we ran into were figuring out the calculations behind factoring risks and turning them into algorithms in code, as well as determining what data to include from the APIs, and figuring out the appropriate APIs to use.
Accomplishments that we're proud of
We are proud of self-learning Python and creating a working app. We learned how to implement APIs in Python and how to build a GUI.
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