Personal Memory Assistant for Alzheimer’s Patients using AI and Real-Time Recognition System

Alzheimer's disease, characterized by progressive memory loss and cognitive decline, presents significant challenges for both patients and caregivers. This design proposes the development of a particular Memory Assistant (PMA) designed to enhance the quality of life for Alzheimer's cases by integrating advanced artificial intelligence technologies. The PMA utilizes real-time facial and speech recognition to identify individuals and prisoner critical information during relations. When a new person is introduced, the system automatically records their name, snap, and applicable details, creating a substantiated database. Upon posterior hassles, the PMA recognizes the individual and provides the case with contextual information, such as the person's name and relationship, thereby reducing confusion and supporting memory retention. The system features include real-time announcements, drug monitors, and exigency cautions, all accessible intuitively. It's erected on a robust tackle foundation, exercising platforms like Raspberry Pi, combined with high-quality cameras and microphones. Crucial considerations for the design include icing data sequestration, carrying stoner concurrence, and addressing ethical considerations related to sensitive particular information.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-14
DOI
https://doi.org/10.22214/ijraset.2025.70759
Primary Topic
Brain Tumor Detection and Classification
Type
article
Field-Weighted Citation Impact
0.00
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article

Personal Memory Assistant for Alzheimer’s Patients using AI and Real-Time Recognition System

Rajiyaalam Sheikh
International Journal for Research in Applied Science and Engineering Technology
Brain Tumor Detection and Classification
article

Personal Memory Assistant for Alzheimer’s Patients using AI and Real-Time Recognition System

Rajiyaalam Sheikh
article en

Abstract

Alzheimer's disease, characterized by progressive memory loss and cognitive decline, presents significant challenges for both patients and caregivers. This design proposes the development of a particular Memory Assistant (PMA) designed to enhance the quality of life for Alzheimer's cases by integrating advanced artificial intelligence technologies. The PMA utilizes real-time facial and speech recognition to identify individuals and prisoner critical information during relations. When a new person is introduced, the system automatically records their name, snap, and applicable details, creating a substantiated database. Upon posterior hassles, the PMA recognizes the individual and provides the case with contextual information, such as the person's name and relationship, thereby reducing confusion and supporting memory retention. The system features include real-time announcements, drug monitors, and exigency cautions, all accessible intuitively. It's erected on a robust tackle foundation, exercising platforms like Raspberry Pi, combined with high-quality cameras and microphones. Crucial considerations for the design include icing data sequestration, carrying stoner concurrence, and addressing ethical considerations related to sensitive particular information.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
Openalex Percentile: Top 86%
Brain Tumor Detection and Classification
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Personal Memory Assistant for Alzheimer’s Patients using AI and Real-Time Recognition System — Rajiyaalam Sheikh · International Journal for Research in Applied Science and Engineering Technology (2025) | TGRS Research Map | TGRS