Portable Data Extraction for Sovereign Debt Data​

2025 · 2025 Competition

School: School of Computer and Information Sciences
Category: Corporate SponsoredPrimary

Project Overview

One Liner: Automate the extraction of data from images and store it in a structured format.

Abstract

Most countries have a level of debt known as sovereign debt. This includes all the money a government owes its creditors. This data is posted to public government websites that list the debt of each country. This data is often posted in an image file. Our project automates the extraction of data from these images and stores it in a structured format using a variety of AI / machine learning tools. This corporate project is sponsored by Bloomberg.

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Team Members

Chau Tran
Chau Tran
Lead
Dren Gara
Matt Protacio
Matt Protacio
Brandon Khop
Siwu Li
Siwu Li
Srija Saha
Srija Saha
Josh Biedrzycki
Josh Biedrzycki

Advisors

Jeff Salvage
Jeff Salvage