TIMELYFY is a web-based automatic scheduling system developed to address the inefficiencies of manual class scheduling at MSEUF-CI. Traditional scheduling at the university involves department heads manually entering data into collaborative spreadsheets, a process that is time-consuming, error-prone, and requires extensive communication to resolve conflicts over teacher, room, and faculty availability. To streamline this process, the researchers designed a system that automates subject allocation and detects conflicts. The project utilizes a client-server architecture with a microservice design, separating the user interface from the algorithmic backend. The front end is built with React, Tailwind CSS, and Zustand, while the back end uses Node.js for UI functionality and Python with FastAPI to handle core scheduling logic. The system's primary mechanism is a greedy search algorithm that provides rapid, conflict-free auto-scheduling for teachers, rooms, and student blocks. The resulting application features an intuitive, user-friendly interface tailored specifically for department heads. It includes quality-of-life features such as manual overrides, schedule predictions through MySQL transactions, and a visual timetable grid. By automating these tasks, TIMELYFY significantly reduces manual workload, maximizes resource utilization, and ensures a smoother pre-enrollment phase. The researchers concluded that the system is both performant and scalable, offering a modern solution to the complex constraints of university timetabling.