Paper Title
MERN Stack – Based Social Media Web App: A Comparative Study on Performance and User Experience
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Registration ID: IJNRD_306289
Published ID: IJNRD2504630
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Keywords
MERN Stack, React Router, Formik, JWT, Dropzone, Authentication.
Abstract
The summary provided describes a full-stack responsive social media application built using the MERN stack (MongoDB, Express.js, React, and Node.js). The application follows a three-layered architecture and includes unit tests for each layer. The application offers user registration with comprehensive validation, including the ability to upload a user image for their profile. Users can register, sign in using their email and password, and access a clean and user-friendly home page with various widgets. The user profile details are displayed, and the current user can create, edit, and delete posts, as well as add images to their posts. Users can view a news feed of all posts, like and dislike posts, and view comments. Friend functionality is provided, allowing users to add and remove friends, view their friends' profiles, and write posts for other users. The application supports a light and dark mode, and it is fully responsive, ensuring optimal user experience on different screen sizes. The frontend utilises React as the framework, React Router for navigation, Formik and Yup for form and validation, Redux Toolkit for state management with Redux Persist for local storage, and React Dropzone for image uploads. On the backend, Node.js serves as the runtime environment, while Express.js acts as the backend framework. MongoDB is used as the database, and Mongoose is employed for managing database operations. Authentication is handled using JSON Web Tokens (JWT), and Multer is used for file uploading. Middleware is implemented to authenticate HTTP requests before sending them to the server. The front-end is built using HTML, CSS, and JavaScript, with extensive use of Bootstrap templates. On the backend, Node.js and its packages, such as Express.js and JWT, are employed, and Mongoose is used to write more readable code.
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How To Cite (APA)
Ashish Das, Ashika Jaiswal, Ananya Maitra, Neeraj Kumar Jha, & Mohit Kumar Jha (April-2025). MERN Stack – Based Social Media Web App: A Comparative Study on Performance and User Experience. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 10(4), g275-g278. https://ijnrd.org/papers/IJNRD2504630.pdf
Issue
Volume 10 Issue 4, April-2025
Pages : g275-g278
Other Publication Details
Paper Reg. ID: IJNRD_306289
Published Paper Id: IJNRD2504630
Research Area: Science and Technology
Author Type: Indian Author
Country: Durgapur, West Bengal, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2504630.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2504630
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