Collection Wall prototype #1 integrates screens within shelves to display data from online repositories, merging digital and physical academic collections. Users can scan books and tokens to receive digital recommendations, focusing on master theses, dissertations, and faculty-nominated “Best Graduate” publications. Historic dissertations are paired with related physical objects from the Academic Heritage collection, displayed in vitrines and linked using AI-generated keywords. At the core is the interactive Oracle 2.0 application, which uses machine learning to cluster and recommend similar publications, allowing users to explore timelines, filter by faculty, and visualize interdisciplinary connections.