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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM42755
Volume:
9 |
3 |
Mar 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.
An automatic playback bot that can identify dangerous URLs is integrated into the suggested web-based email alert and monitoring system. Users will be informed of important occurrences or conditions thanks to this system’s real-time monitoring and alerting features. In order to identify anomalous data, provide highly personalized and educational alerts, and make recommendations for further actions, the system makes use of artificial intelligence technologies. To lessen alert overload and make sure users pay attention to pertinent messages, the system also uses reinforcement learning to modify users’ responses to prior alerts. The automatic replaying bot can react appropriately to a variety of situations because it is trained to obey precise instructions. Additionally, a dangerous link detection tool built into the system finds and flags dubious links, averting certain security risks. The overall goal of this system is to improve user experience and optimize workflows.
KEYWORDS
Publication Date
3/24/2025
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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