This semester, I collaborated with Dr. Jenna Morton-Aiken to build an automated folksonomy network visualization system for ENGL1190M course. The project aimed to create a collaborative knowledge-mapping tool where students tag weekly readings with hashtags, and the system automatically generates an interactive network showing connections between texts and emerging themes. I developed a fully automated pipeline using Google Forms for data collection, Google Colab for processing, and GitHub Pages for hosting, eliminating all manual file management through PyGithub API integration. The visualization, built with Sigma.js, features interactive hover highlighting, real-time search filtering, and responsive pan-and-zoom controls that work seamlessly on both desktop and mobile devices. The system processes cumulative data from all submissions throughout the semester, creating timestamped version control for pedagogoical research. This approach allows students to discover unexpected connections between readings based on their own interpreations, rather than following only the professor's planned course structure. The one-click update workflow enables Dr. Morton-Aiken to refresh the visualization weekly in under 60 seconds, making it sustainable for semester-long use and potentially shareable with other courses exploring collaborative knowledge construction.