BAAT-CHEET Chatting Application Based on MERN

Abstract- Chat applications have become a staple in communication, revolutionizing how individuals interact and collaborate in both personal and professional settings. This article offers a comprehensive examination of the latest advancements in chat applications, focusing on techniques to enhance user experience (UX). Through a literature review, we pinpoint key factors affecting UX in chat systems, including usability, accessibility, security, and personalization. Additionally, we explore emerging trends and technologies that will shape the future development of chat applications. By synthesizing findings from various studies, this paper provides insights and recommendations for creating and improving chat programs to meet the evolving needs and expectations of users. The MERN chat application delivers a seamless and user-friendly platform for real-time conversations with friends, colleagues, and acquaintances. Utilizing WebSocket technology, the application ensures rapid and efficient message exchange with instant delivery. Keywords: MERN STACK, React, Node, HTML, CSS, JavaScript, MongoDB, Express JS, and React JS.

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Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-05-14
DOI
https://doi.org/10.55041/ijsrem47898
Primary Topic
Domain Adaptation and Few-Shot Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

BAAT-CHEET Chatting Application Based on MERN

Aman Gupta
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Domain Adaptation and Few-Shot Learning
article

BAAT-CHEET Chatting Application Based on MERN

Aman Gupta
article en

Abstract

Abstract- Chat applications have become a staple in communication, revolutionizing how individuals interact and collaborate in both personal and professional settings. This article offers a comprehensive examination of the latest advancements in chat applications, focusing on techniques to enhance user experience (UX). Through a literature review, we pinpoint key factors affecting UX in chat systems, including usability, accessibility, security, and personalization. Additionally, we explore emerging trends and technologies that will shape the future development of chat applications. By synthesizing findings from various studies, this paper provides insights and recommendations for creating and improving chat programs to meet the evolving needs and expectations of users. The MERN chat application delivers a seamless and user-friendly platform for real-time conversations with friends, colleagues, and acquaintances. Utilizing WebSocket technology, the application ensures rapid and efficient message exchange with instant delivery. Keywords: MERN STACK, React, Node, HTML, CSS, JavaScript, MongoDB, Express JS, and React JS.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(05)
Swiss Data Science Center (CH)
Openalex Percentile: Top 95%
Domain Adaptation and Few-Shot Learning
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BAAT-CHEET Chatting Application Based on MERN — Aman Gupta · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2025) | TGRS Research Map | TGRS