Inspiration
Wanted to originally analyze spending reports on credit cards and determine whether or not they were fraudulent. However, I couldn't find an optimal dataset to use so pivotted to other types of risk analysis.
What it does
It's incomplete however, I hope to complete it and allow it to predict whether or not a person should be given a loan, based on about 15 attributes.
How I built it
Python SciKit, Random Forrest, LLM
Challenges I ran into
Low Accuracy using Random Forrest, building LLM with Categorical and Numerical Values
Accomplishments that I'm proud of
Learning how to train LLM and applying statistical skills I have learned in other classes to coding. Also this was my first hackathon!
What I learned
Working on your own is very hard and maybe I was a little bit ambitious given the time constraint
What's next for SoloDolo
Finish it next weekend and add to my resume :).
