AI-Driven Digital Archiving Systems: Metadata Trends 2024–2025

This project explores how artificial intelligence (AI) is influencing the structure and consistency of metadata in digital archiving systems. Metadata was collected from Open Library, Internet Archive, and Europeana, then analyzed using Microsoft Excel. Visualizations highlight trends in subject tagging and archive structure. The project also includes related article summaries and a recorded presentation.