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eISSN: 2582-8185 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

AI Guardian: Protecting seniors through intelligent financial monitoring

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  • AI Guardian: Protecting seniors through intelligent financial monitoring

Pradeep Chandramohan *

Salem Infotech Inc., USA.

Review Article

World Journal of Advanced Research and Reviews, 2025, 26(02), 3334-3341

Article DOI: 10.30574/wjarr.2025.26.2.1918

DOI url: https://doi.org/10.30574/wjarr.2025.26.2.1918

Received on 09 April 2025; revised on 21 May 2025; accepted on 24 May 2025

The article explores the development and implementation of AI-based systems designed to protect elderly individuals from financial fraud and exploitation. It examines the growing threat of elder-targeted financial crimes and presents multiple technological approaches to address these vulnerabilities. The article discusses AI-powered transaction monitoring systems that can detect unusual patterns, natural language processing techniques for identifying deceptive communications, predictive modeling for classifying emerging threats, and AI-assisted financial education tailored to seniors' needs. The article highlights how these technologies can significantly improve fraud detection while respecting elderly users' autonomy and dignity. Various implementation metrics demonstrate the effectiveness of these systems across different dimensions, including user satisfaction, technology adoption, transparency, and multi-stakeholder collaboration. The article concludes by addressing ethical considerations and future directions for research and policy development in this rapidly evolving field.

Elder Fraud Protection; Artificial Intelligence; Financial Monitoring; Natural Language Processing; Predictive Modeling

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-1918.pdf

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Pradeep Chandramohan. AI Guardian: Protecting seniors through intelligent financial monitoring. World Journal of Advanced Research and Reviews, 2025, 26(2), 3334-3341. Article DOI: https://doi.org/10.30574/wjarr.2025.26.2.1918

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


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