Article

STUDENT MANAGEMENT SYSTEM USING WEB TECHNOLOGIES

Author : 1Dr.CH.Suresh, 2Thalapaneni Navya, 3Lingala Venkata Naga Rohith, 4SHAIK SHAFEENA BANU, 5Murali Krishna Tarigoppala, 6Shaik Chinna Brameswararao

In the modern educational environment, managing student information efficiently is a critical challenge due to the increasing number of students and the complexity of academic data. Traditional methods of managing student records using manual registers or spreadsheets are time-consuming, error-prone, and inefficient for large-scale data handling. This paper presents a comprehensive Student Management System (SMS) developed using web technologies and database systems to automate and streamline student data management processes. The proposed system is designed to manage student information such as personal details, attendance, academic performance, and report generation in a secure and efficient manner. The system is implemented using HTML, CSS, and JavaScript for the frontend, Python Flask framework for backend processing, and SQLite database for data storage. The system provides a user-friendly interface for administrators to perform various operations, including adding new student records, updating existing data, recording attendance, managing marks, and generating academic reports. By digitizing student data, the system eliminates the limitations of manual record-keeping and enhances data accuracy, security, and accessibility. The proposed system integrates multiple modules such as Admin Module, Student Module, Attendance Module, Marks Module, and Report Generation Module. These modules work collaboratively to ensure efficient data management and real-time processing. The system also ensures secure data storage and fast retrieval using structured database management techniques. Experimental results demonstrate that the system performs efficiently with high accuracy and minimal response time, making it suitable for deployment in educational institutions. Furthermore, the system reduces administrative workload and improves overall institutional efficiency. It also supports scalability, allowing institutions to manage large volumes of data without performance degradation. Future enhancements may include cloud integration, mobile application support, and advanced analytics for student performance prediction. Overall, the proposed Student Management System provides a reliable, efficient, and scalable solution for modern educational institutions, contributing to improved data management and decision-making processes.


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