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@article{199021,
        author = {Rohit Kumar and Ashish Ranjan and Nitin Kumar},
        title = {ERP-Based Integrated Student Management System Using MERN Stack},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {12626-12635},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=199021},
        abstract = {Educational institutions generate and manage a vast amount of data related to students, including academic records, attendance, examinations, fees, and administrative information. Traditional methods of managing this data, which often rely on manual processes or isolated software systems, lead to inefficiencies such as data redundancy, lack of synchronization, increased chances of human error, and delays in information retrieval. These challenges hinder effective decision- making and reduce overall institutional productivity. To address these limitations, this paper proposes an ERP-Based Integrated Student Management System designed to centralize and streamline all academic and administrative processes within a unified digital platform. The proposed system adopts a modular and scalable architecture that integrates key functionalities such as student registration, attendance management, examination and result processing, fee management, and communication systems. By leveraging modern web technologies, the system ensures real-time data access, improved accuracy, and seamless interaction between students, faculty, and administrators.
The system is developed using a full-stack web architecture, incorporating technologies such as React.js for the frontend, Node.js and Express.js for backend services, and MongoDB for efficient data storage and management. It also implements role- based access control to ensure secure and authorized access to sensitive information. The integration of RESTful APIs enables smooth data communication between different modules, ensuring consistency and reliability across the system.
Experimental evaluation and performance analysis indicate that the proposed system significantly improves operational efficiency by reducing manual workload, minimizing data redundancy, and accelerating data retrieval processes. The system provides a user-friendly interface and supports scalability, making it suitable for institutions of varying sizes.
The proposed ERP-based solution enhances transparency, improves data management, and facilitates better decision-making in academic institutions. Furthermore, it provides a strong foundation for future enhancements such as mobile application integration, cloud deployment, and AI- driven analytics for academic performance prediction.},
        keywords = {},
        month = {April},
        }