UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 4
April-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2304A31


Registration ID:
513850

Page Number

k218-k220

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Title

WHATSAPP CLONE FOR CROSS-PLATFROM

Abstract

With the proliferation of messaging apps, the use of WhatsApp, WeChat, Telegram, and Signal has become ubiquitous. These apps allow users to communicate easily and quickly, making them ideal for personal and business communication. In this study, we aim to compare the methodology of analysing WhatsApp, WeChat, Telegram, and Signal while keeping record of technologies in mind. The research paper is based on a systematic review of the literature, including research articles, conference proceedings, and other relevant sources. We have outlined the methodology of analysing each app and compared them based on their features, security, and usability.

Key Words

Machine learning , Computer science, Deep learning

Cite This Article

"WHATSAPP CLONE FOR CROSS-PLATFROM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 4, page no.k218-k220, April-2023, Available :http://www.jetir.org/papers/JETIR2304A31.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"WHATSAPP CLONE FOR CROSS-PLATFROM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 4, page no. ppk218-k220, April-2023, Available at : http://www.jetir.org/papers/JETIR2304A31.pdf

Publication Details

Published Paper ID: JETIR2304A31
Registration ID: 513850
Published In: Volume 10 | Issue 4 | Year April-2023
DOI (Digital Object Identifier):
Page No: k218-k220
Country: Chandigarh , punjab, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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