Campus Connect: A Smart College Management and Student Performance Analytics System
Karan Sathe1, Rituja Sonawane2, Samruddhi Harishchandre3, Dnyaneshwari Telbhare4,
Prof. M. S. Bhosale5
¹Department of Information Technology, Sinhgad College of Engineering, Pune-41
²Department of Information Technology, Sinhgad College of Engineering, Pune-41
³Department of Information Technology, Sinhgad College of Engineering, Pune-41
⁴Department of Information Technology, Sinhgad College of Engineering, Pune-41
5Department of Information Technology, Sinhgad College of Engineering, Pune-41
Email : karansathe.scoe.it@gmail.com
Abstract - Contemporary academic institutions often rely on fragmented tools for attendance, student records, timetable planning, communication, and performance monitoring. This creates data silos, manual workload, and delayed intervention for students who need academic support. This paper presents Campus Connect, an implementation-based college management system that consolidates administrative operations and student performance analytics into one software ecosystem. The platform is built using the MERN stack for transactional workflows and a Flask-based machine learning service for performance analysis. The implementation provides role-based access for students, faculty, and administrators, along with modules for authentication, student and faculty management, course and timetable handling, attendance sessions with QR-based flows, change-request governance, notifications, assignments, ERP work items, and analytics-driven student performance views. The system is designed for practical deployment, modular maintenance, and future extensibility. The paper focuses on implementation details, system architecture, database design, module interactions, and validation performed through project scripts and service integration.
Keywords: College Management System, MERN Stack, Machine Learning, Role-Based Access, Attendance Automation, Student Analytics, Flask Microservice
