The Photo Metadata Extractor Tool (PMET) is the tool my project team is currently developing for the Computer Science Degree capstone course, CS 458 Software Engineering. The tool is being developed in Python and utilizes existing machine learning models to convert images of SuDoc identifiers to text and accesses the OCLC API to search the Library of Congress registry.
The portion of the project I am responsible for is the API access, which includes creating the module for retrieving an authorization token from OCLC from a client id and client secret key as well as understanding the API request parameters to meet the project requirements. The process of requesting an API key and reading the documentation for that API has been a great learning experience for expanding my skills outside of programming.
Storyboard depicting use of the tool.
The source code and other documents are available below on GitHub.