How Machine Learning and Large Language Models Support Transforming a 18th Century Handwritten Genealogical Database

One researcher, 2,000+ folios of 18th-century handwritten genealogical data, and a carefully chosen toolkit of ML and LLM tools. This talk maps out which AI technologies — from HTR to named entity extraction to knowledge graph question answering — solve which problems, offering a practical guide for solo digital humanities projects with ambitious archival goals.