Examining, wireframing, and redesigning the data structure of Alcoholics Anonymous’ New York meeting data.
In a Data Structures class project, I restructured the data from AA’s meeting pages for New York using Python, creating a well-organized dictionary with essential meeting details like dates, times, special topics, accessibility, and location. My goal was to design an approachable, simple, and easy-to-use page with minimal steps for those seeking information. I identified two key user groups: new users needing quick access to a meeting and returning members familiar with the site. To meet these needs, I designed a clean, user-friendly wireframe and implemented an Observable notebook that allows users to filter meetings by day and time while exploring a map to find locations. This project highlights my ability to streamline data for diverse users and create intuitive, interactive tools that enhance accessibility.