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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM54375

AI URL Notifier

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM54375

Volume:

9 |

11 |

Nov 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

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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

DN

Deepthi Nair

D

Dhanya.S

D

Dhakshitha.S

DSV

Dinesh Sriram Velan.T

DNSA

Darsha Nivaash. S A

ARRP

Anoj Rehaan. R P

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Abstract

The URL Notifier is a design for software that provides a standardized framework for monitoring web resources and notifying parties interested in such resources. It represents a conceptualization of observing changes or events involving URLs, structuring notifications, and sending them to registered subscribers through a unified interface. By separating the concerns of monitoring from notification handling, the developers could work with high-level APIs and be shielded from the details of polling, event-driven protocols, or network tasks. The architecture usually consists of three parts: a watcher that periodically checks the status or content of URLs for changes, a notifier that converts these into notifications based on set rules, and subscribers that receive the update through callbacks, message queues, or restful endpoints. This design gives several advantages: decoupling of system components, scalability, flexibility in the methods of notification, extendability by adding new monitoring strategies, and reusability across diverse applications. Web content monitoring, triggering automated workflows, and health checks of web services are common use cases. While implementing this system, developers need to decide between polling and event-driven monitoring, manage rate limits, ensure reliable delivery, and keep security maintained by authentication and validation. Generally speaking, the URL Notifier simplifies the task of tracking web-based resources and enables fast, automated interactions among distributed systems

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Cite This Article

Deepthi Nair, Dhanya.S, Dhakshitha.S, Dinesh Sriram Velan.T, Darsha Nivaash. S A, Anoj Rehaan. R P, "AI URL Notifier," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 11, Nov 2025.

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Publication Date

11/24/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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

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