The goal is to parse a large dataset of public meetings (i.e. City Council, School Board, Planning Commission) and surface critical insights to everyday community members. This may involve imagining recognition, natural language processing, and sentiment analysis. Meeting minutes are often stored as PDFs so we need help running image recognition on the PDFs.
