TrackNEnroll: Student Admission Categorization System

Admission is one of the most significant processes in colleges as it directly influences student intake and department distribution. Despite its importance, many institutions still depend on manual admission practices, which often result in duplication of records, communication delays, and lack of accountability. This traditional approach puts additional workload on staff and makes it difficult for principals and heads of departments (HODs) to monitor progress effectively. This paper presents TrackNEnroll, a student admission categorization system designed as an auto-synchronized platform combining a React-based web dashboard for principals and HODs with a React Native mobile application for staff. The system operates through a centralized database and backend API, ensuring that any update on the mobile app is instantly visible on the web dashboard through real-time synchronization. Students are automatically distributed to departments and staff, but the final allocation requires approval from both the principal and HOD, thus maintaining control while reducing manual effort. TrackNEnroll improves efficiency by simplifying student assignment, preventing data duplication, and creating a transparent workflow. The results demonstrate how automation with human supervision can enhance accountability, save time, and ensure smoother academic operations.