FULL-STACK BLOG APPLICATION USING MERN STACK

Abstract

Digital learning platforms are progressively adopting modern smart tools to facilitate the
instructional assessment process. Nonetheless, many quiz systems have had inflexible
formats, poor scalability, and limited feedback; this paper proposes CogniBoost. It is a web-
based application designed to enhance secure and flexible quiz development based on the
MERN stack (MongoDB, Express.js, React.js, and Node.js). The system is equipped with
various question formats. Moreover, it provides role-based access control for
administrators, instructors, and learners. It allows real-time assessment through an
automated scoring mechanism. A responsive interface and built-in analytics are used to help
the learner monitor his/her progress, while educators can also grade and analyze their
performance to generate and deliver visually-based reports. Compared to traditional quiz
systems, CogniBoost was notably more adaptable, mobile-accessible, and resulted in better
user engagement. The design was developed on the basis of modern-day full-stack
development practices. Besides, it emphasised security reinforced by JWT-based
authentication and scalability supported by the cloud deployment strategy. Experimental
performance evaluation indicated that implementation of the proposed platform has the
ability to manage quiz content pretty effectively and provide instant feedback without
compromising system performance. Hence, CogniBoost synergises personalised assessments
with performance analytics and is instrumental to enhancing digital education and a
valuable model in both an academic and corporate training environment