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Volume 11, Issue 3 (2026) Open Access Peer Reviewed

Personal Memory Assistant

Jayanth H Siva M Sunil Kumar M Ragul Aravind Dr.K.T.SenthIl Kumar

Author Affiliations

[5] Assistant Professor (CSE) Department of Computer Science and Engineering Er. Perumal Manimekalai College of Engineering Koneripalli, Hosur 635117
[1] [2] [3] [4] Department of Computer Science and Engineering Er. Perumal Manimekalai College of Engineering Koneripalli, Hosur 635117.

Abstract

In an era of information overload, individuals often struggle to manage, recall, and contextualize personal data across diverse platforms and daily interactions. A Personal Memory Assistant (PMA) is an intelligent system designed to augment human memory by capturing, organizing, and retrieving information seamlessly. Leveraging natural language processing, contextual awareness, and adaptive learning, the PMA enables users to store personal experiences, preferences, and tasks in a structured yet intuitive manner. Unlike traditional note-taking or reminder applications, the PMA emphasizes proactive support—anticipating user needs, providing timely cues, and integrating with digital ecosystems to ensure continuity of memory across devices and environments. This paper explores the conceptual framework, architecture, and potential applications of a Personal Memory Assistant, highlighting its role in enhancing productivity, reducing cognitive load, and fostering a more personalized interaction with technology. Ethical considerations, such as privacy, data ownership, and trust, are also examined to ensure responsible deployment of such systems. Ultimately, the PMA represents a step toward symbiotic human–AI collaboration, where technology not only stores information but actively enriches human memory and decision-making

How to Cite This Article

Jayanth H, Siva M, Sunil Kumar M, Ragul Aravind, Dr.K.T.SenthIl Kumar (2026). Personal Memory Assistant. International Journal of Innovative Research in Multidisciplinary Education & Technology (IJIRMET), 11(3).

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Journal Metadata
ISSN2456-0448
VolumeVolume 11
IssueIssue 3
Year2026
AccessOpen Access
ReviewDouble Blind
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