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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREMWP10027

Whatsapp Automation: Sending Messages Programmatically

Stream/Area:

-

Subject:

-

Paper ID:

IJSREMWP10027

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

TS

Tamil Selvan.A1

M

Midunavarsini.B2

S.3

Sarayuma .M 3

SS

Shikha Srinivas4

S.

Sooriya .G.M5

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Abstract

In today’s fast-paced digital environment, instant and efficient communication is vital for both personal and professional interactions. WhatsApp, one of the world’s most widely used messaging platforms, offers a powerful medium for reaching individuals and groups. This project proposes an automated solution for sending WhatsApp messages programmatically to streamline communication workflows and enhance engagement. By leveraging WhatsApp Web automation libraries, API integrations, and scheduling mechanisms, the system enables personalized and scalable messaging without manual intervention. It addresses key challenges such as session management, authentication, message formatting, and compliance with platform policies. Experimental results show significant improvements in efficiency and accuracy compared to manual messaging. The framework finds applications in customer support, marketing, education, and organizational communication, offering a scalable and cost-effective solution. Future developments may include AI-based personalization, multilingual support, and analytics to further optimize communication strategies.

KEYWORDS

Python Selenium PyAutoGUI pywhatkit.

Cite This Article

Tamil Selvan.A1, Midunavarsini.B2, Sarayuma .M 3, Shikha Srinivas4, Sooriya .G.M5, "Whatsapp Automation: Sending Messages Programmatically," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025.

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Publication Date

5/15/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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2

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5

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The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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