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© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM56744

CourseMate: An AI-Enabled Learning Management System with Integrated Real-Time Interview Platform Using MERN Stack

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM56744

Volume:

10 |

2 |

Feb 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM56744

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PAB

Prof. Aparna Bagde

Computer Engineering

JSPM Narhe Technical Campus

VSP

Vishwajeet Sunil Patil

Computer Engineering

JSPM Narhe Technical Campus

NSP

Niraj Samadhan Patil

Computer Engineering

JSPM Narhe Technical Campus

RVT

Rajnandini Vijaykumar Taskar

Computer Engineering

JSPM Narhe Technical Campus

AJP

Anup Jitendra Pardeshi

Computer Engineering

JSPM Narhe Technical Campus

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Abstract

The rapid expansion of digital education has created a strong demand for intelligent, scalable, and interactive platforms capable of supporting both learning and evaluation processes. This paper presents CourseMate, an AI-enabled Learning Management System (LMS) integrated with a real-time interview assessment platform, implemented using the MERN stack consisting of MongoDB, Express.js, React.js, and Node.js. The proposed system provides a unified framework for course administration, digital content delivery, learner progress analysis, and AI-assisted interview evaluation. Core functionalities include secure authentication, role-based access control, interactive learning modules, and automated feedback generation during interview sessions. The MERN architecture ensures high performance, responsiveness, and scalability, making the system suitable for academic institutions and training organizations. Experimental observations indicate that CourseMate improves assessment efficiency, reduces manual evaluation effort, and delivers reliable real-time feedback to users.

KEYWORDS

Learning Management System MERN Stack Artificial Intelligence Real-Time Interview Platform Scalable Web Application

Cite This Article

Prof. Aparna Bagde, Vishwajeet Sunil Patil, Niraj Samadhan Patil, Rajnandini Vijaykumar Taskar, Anup Jitendra Pardeshi, "CourseMate: An AI-Enabled Learning Management System with Integrated Real-Time Interview Platform Using MERN Stack," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 2, Feb 2026. https://doi.org/10.55041/IJSREM56744

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Publication Date

2/19/2026

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Double-Blind Peer Review

Review Rounds: 2

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