Intelligent College Management System with Real-Time Monitoring and Visual Analytics
Traditional college management systems are often hindered by outdated user interfaces, limited data accessibility, and inefficient communication among stakeholders. This project presents the development of an Intelligent College Management System (ICMS) that addresses these limitations through a modern, full-stack, analytics-driven approach. Utilizing Flask (Python) for backend services and React for the frontend, the system is designed to streamline administrative processes, academic monitoring, and stakeholder interaction for students, faculty, and administrators. The proposed ICMS incorporates modular data models for managing students, staff, courses, attendance, and examinations. It features secure authentication mechanisms (JWT/OAuth), role-based access control, and interactive dashboards. Embedded visual analytics tools enable real-time monitoring of academic performance, attendance trends, and institutional resource utilization. Faculty can generate insightful reports (PDF/Excel), monitor student progress, and make data-informed decisions, while students gain personalized access to schedules, grades, and institutional announcements. The system supports cloud deployment, ensuring high availability, scalability, and cross-device accessibility. By integrating intelligent monitoring and analytics capabilities, the ICMS fosters a data-driven academic environment, ultimately enhancing institutional decision-making and educational outcomes.
Authors
- B. Aysha Banu
- S. Sajithabanu
- A. Asrin Mahmootha
- J Sheik Mohamed
- S. Mohamed Hisbullah
- Sheik Nadeem
- Syed Omarsha
Publication Details
- Journal
- Journal of Data Mining and Management
- Published
- 2025-01-01
- DOI
- https://doi.org/10.46610/jodmm.2025.v10i02.002
- Primary Topic
- Educational Technology and Pedagogy
- Type
- article
- Field-Weighted Citation Impact
- 0.00