Authors:
M. Avinash, H. Sai Pranav, S. Hem Kesav, Tahmina Akter Khusba, P. Paramasivan

Addresses:
Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai, Tamil Nadu, India. Department of Management and Marketing,  Birmingham City University, Birmingham, United Kingdom. Department of Research and Development, Dhaanish Ahmed College of Engineering, Chennai, Tamil Nadu, India. ma2382@srmist.edu.in, hh3894@srmist.edu.in, hs1754@srmist.edu.in, khusbata.sust08@gmail.com, paramasivanchem@gmail.com.

Abstract:

Language barriers limit cross-cultural communication and collaboration in an increasingly interconnected world. Innovative multilingual chat apps use cutting-edge technologies to bridge language gaps and stimulate meaningful connections. This abstract describes a complicated multilingual chat application leveraging the MERN stack and AWS Translation services to revolutionize digital cross-cultural communication. Real-time translation in multilingual chat apps solves the problems. These algorithms recognize cross-linguistic interactions to provide inclusive digital environments where individuals of different languages can converse. Multilingual chat apps need MERN. React, Node.js, MongoDB, and Express.js provide a complete real-time communications platform. MongoDB scales, while Express.js and Node.js optimize server-side tasks. Multilingual interfaces are responsive to React’s declarative components. The final section addresses AWS Translation and multilingual chat app integration. Neural machine translation specialist AWS Translation delivers real-time translation across several languages. AWS Translation enables multilingual communication with precise, contextually relevant translations using powerful machine learning techniques. Finally, the abstract discusses how multilingual chat apps will change global communication. These apps foster cross-cultural understanding and worldwide cooperation. Developers aspire to create inclusive digital environments that celebrate language diversity and promote cross-cultural engagement utilizing technology and innovation.

Keywords: MERN Stack; AWS Translation; Potential of a Chat Application; Cross-Cultural Engagement; Technology and Innovation; Multilingual Communication Challenges; MongoDB Scales.

Received on: 21/12/2023, Revised on: 19/02/2024, Accepted on: 07/04/2024, Published on: 09/06/2024

DOI: 10.69888/FTSCL.2024.000183

FMDB Transactions on Sustainable Computer Letters, 2024 Vol. 2 No. 2, Pages: 85-98

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