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Stream/Area:
-
Subject:
-
Paper ID:
IJSREMWP10027
Volume:
9 |
5 |
May 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
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
Publication Date
5/15/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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