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@article{164861,
        author = {Vashu Sharma and Shubhangi Goel and Vanshika Aggarwal and Vyom Sharma},
        title = {An E-Learning Platform for Study: A Full-Stack Web Application Powered by EJS, MongoDB, Express.js, and Node.js},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {12},
        pages = {2028-2031},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=164861},
        abstract = {In the continuously evolving field of education, the need for innovative and effective learning platforms is more critical than ever. With advancements in technology and the growing demand for flexible learning options, e-learning platforms have become essential tools, transforming educational approaches. This research paper examines the development of a comprehensive e-learning platform tailored for engineering education, utilizing the powerful capabilities of EJS, MongoDB, ExpressJS, and NodeJS. Designed to serve both students and instructors, the application seeks to enhance education by offering a seamless and interactive learning experience for students, enabling efficient access to educational content. Concurrently, it supports instructors in showcasing their expertise, connecting with learners globally, and creating interactive courses suited to various learning styles. This paper delves into the technical complexities of the e-learning platform, providing an in-depth understanding of its features and functionalities, and paving the way for a future characterized by personalized, engaging, and accessible education.},
        keywords = {E-learning, MERN stack, EJS, MongoDB, ExpressJS, NodeJS, education technology, personalized learning, interactive learning, student engagement, instructor platform, engineering education.},
        month = {},
        }