
A Survey Paper on Student Guidance System | IJET – Volume 11 Issue 6 | IJET-V11I6P6

International Journal of Engineering and Techniques (IJET)
Open Access • Peer Reviewed • High Citation & Impact Factor • ISSN: 2395-1303
Volume 11, Issue 6 | Published: November 2025
Author: S.R.Patil , Tanish Kunthe, Swayam Hiremath , Sujal Bevanur
Abstract
The Student Counselling System is a web-based platform developed using HTML, CSS, JavaScript, Node.js and MongoDB to streamline communication between students and counsellors. The system allows students to update their CIE (Continuous Internal Evaluation) marks and submit them for counsellor approval, ensuring transparency in academic progress. It also provides a feature for students to upload and modify their activity points related to extracurricular and co-curricular participation. Counsellors can schedule counselling sessions through the system, and notifications or messages are automatically sent to the respective students. This reduces manual work and improves timely student support. The application ensures secure data storage and efficient data retrieval using MongoDB, while Node.js handles backend logic and real-time operations. The user-friendly interface built with HTML, CSS and JavaScript makes it easier for both students and counsellors to access and manage information. The system promotes better academic monitoring and enhances student–counsellor interaction. It minimizes paperwork and provides a centralized platform for maintaining student records. Overall, the project aims to offer an efficient, transparent and reliable counselling management solution.
Keywords
Student Counselling System,MongoDB,Node.js,academic monitoring, paperwork.
Conclusion
The Student Counselling System successfully digitalizes the traditional counselling workflow by offering a centralized and secure platform for managing student academic data, activity points, and counselling sessions. The system improves transparency by enabling students to update CIE marks and activity records while allowing counsellors to verify and monitor their progress efficiently. Automated notifications and session scheduling reduce manual effort and ensure timely support. By utilizing Node.js for backend operations and MongoDB for scalable data storage, the system maintains data accuracy and provides real-time accessibility.
References
[1]R. Singh and P. Sharma, “Online Student Counselling System,” International Journal of Computer Applications, 2023.
[2]A. Kumar and S. Reddy, “Web-based Student Counselling and Guidance Portal,” Journal of Emerging Technologies in Education, 2024.
[3]O. Oti and A. Pitt, “Digital Mental-Health Support Systems for University Students: A Scoping Review,” Journal of Educational Technology & Society, 2025.
[4]M. Patel, “Student Academic Performance & Counselling System using MongoDB,” International Research in Computer Science, 2023.
[5]M. Papadatou-Pastou, “A Review on Web-Counselling Systems for Higher Education,” Higher Education Technology Review, 2024.
[6]S. Verma and T. Jain, “Automated Academic Monitoring & Counselling System,” International Journal of Modern Computing, 2024.
[7]A. Das and K. Mehta, “Web-Based College Counselling System with Real-Time Notifications,” International Journal of Information Sciences, 2024.
[8]J. George and R. Philip, “Academic Counselling Automation using Node.js and NoSQL Database,” International Journal of Computer Engineering and Applications, 2025.
[9]N. Sinha and B. Pathak, “Secure Web Portals for Student Data Management in Higher Education,” Journal of Secure Computing and Systems, 2023.
P. Chauhan and R. Kulkarni, “Implementation of Student Activity Tracking System in Colleges,” International Journal of Engineering Development and Research, 2024.
© 2025 International Journal of Engineering and Techniques (IJET).

Digital Object Identifier (DOI)
IJET assigns a unique DOI to every accepted article via Zenodo for persistent linking and citation. Your article’s DOI: https://doi.org/{{doi}}

Citations & Discovery
Citations are tracked via Google Scholar and DOI lookups. Use the links below to find where this article is cited.
- Google Scholar: Search Citations
- DOI Resolver: Open DOI
