Date of Award
Fall 11-2024
Document Type
Honors Capstone Project
Degree Name
B.S. Computer Science/Information Technology
Department
Computer Science and Information Technology
First Advisor
Dr. Dylan Schwesinger
Abstract
This project streamlines a critical business task for the Kutztown Honors Program by automating the extraction of information from student transcript PDFs. Using custom software written in Python, the program parses 400 pages of data in 70 seconds to significantly reduce the hours of manual effort previously required. By leveraging skills from the CSIT curriculum, this project represents an innovative approach for a CSIT student to support a university department through custom software solutions. The project enhances operational efficiency for the Honors Program and demonstrates the practical application of computer science to solve real-world problems within the wider academic community.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
La Penta, Aidan, "Turning 50 Hours into 5 Minutes: Automating Work with Custom Tools" (2024). Honors Student Research. 12.
https://research.library.kutztown.edu/honorspapers/12
