Eats @ UIUC is an interactive web platform that helps students explore the campus dining scene through searchable and filterable restaurant data, including ratings, price ranges, cuisines, and locations. Built as a full-stack application, it combines Python for backend data processing with a dynamic frontend to deliver an intuitive and engaging user experience. The project focuses on improving accessibility, user engagement, and data visualization while providing a real-world application for hands-on development.