Date of Award
Spring 2019
Degree Type
Thesis
Department
Computer Science and Engineering
Director of Thesis
Dr. Jose Vidal
First Reader
Mingzhe Du
Second Reader
Mingzhe Du
Abstract
Debt Calculator is a web application that our team developed this year to assist users in understanding and visualizing both their current debt sources, such as student loans, car loans, and credit card debt, and the impact that upcoming career choices, such as where they attend graduate school or which job offer they accept, will have on their standards of living and savings accounts. All of the data that our application bases its analysis upon is entered by the user, and none of the algorithms that our application performs are particularly unique or proprietary; rather, the value that our application adds to the lives of its users is in time and effort saved, for our product can distill a complex array of upcoming opportunities, each in different regions of the country and involving different salaries or loan terms, into a ranking of most affordable opportunities in a matter of seconds, saving users the hours of effort that they might have otherwise spent searching for cost-of-living data and relocation costs for each of the cities to which they are considering moving.
First Page
1
Last Page
17
Recommended Citation
Landrum, Donald E. Jr. and Parks, Caleb D.H., "Estimating And Visualizing Debt Using Debt Calculator" (2019). Senior Theses. 281.
https://scholarcommons.sc.edu/senior_theses/281
Rights
© 2019, Donald E. Landrum Jr. and Caleb D.H. Parks