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International Journal of Science, Strategic Management and Technology

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LUMI: A DIGITAL COMPANION FOR ALZHEIMER'S PATIENTS AND OLDER ADULTS

AUTHORS:
Ishica Binod Kumar,Shruti Santosh Patil, Vinit Hastimal Jain, Parth Narendra Gh
Mentor
Affiliation
Student, ECS, SAKEC, Maharashtra, India
DOI: 10.55041/ijsmt.v2i2.014
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Abstract

Lumi is a digital companion designed to assist Alzheimer's patients and older adults by providing a suite of features that improve daily life and enhance safety. Utilizing modern technologies such as React Native, Flask, MongoDB, and AI-based recognition models, Lumi offers functionalities including face and object detection, location tracking, and reminder notifications. This project aims to provide a user-friendly solution that fosters independence and security while easing the burden on caregivers. The results demonstrate a significant improvement in user experience and efficiency in assisting individuals with memory-related challenges.

Keywords
Alzheimer’s assistanceDigital companionAI-powered healthcareFace recognition React Native Flask backend
Article Information
PUBLICATION DETAILS
Review Type:
4
License:
CC BY-NC 4.0
Volume/Issue:
Volume Volume 10, Issue 01
Review Rounds:
2
Article Type:
Research Article
Publication Date:
Feb 13 2026
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Gh, I. B. K. S. P. V. H. J. P. N. (2026). Lumi: A Digital Companion for Alzheimer's Patients and Older Adults. International Journal of Science, Strategic Management and Technology, Volume 10(01). https://doi.org/10.55041/ijsmt.v2i2.014

Gh, Ishica. "Lumi: A Digital Companion for Alzheimer's Patients and Older Adults." International Journal of Science, Strategic Management and Technology, vol. Volume 10, no. 01, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i2.014.

Gh, Ishica. "Lumi: A Digital Companion for Alzheimer's Patients and Older Adults." International Journal of Science, Strategic Management and Technology Volume 10, no. 01 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i2.014.

References

[1]. RaY8118. LUMI-Mobile-App (Frontend Repository). GitHub. Available: https://github.com/RaY8118/LUMI Mobile-App


[2]. RaY8118. LUMI-Backend (Backend Repository). GitHub.  Available:  https://github.com/RaY8118/LUMI-


Backend


[3]. A. M. Sadeghian, H. S. Shahhoseini, and F. R. Salmasi, “A review on Alzheimer’s disease detection using deep learning techniques,” Artificial Intelligence in Medicine, vol. 124, pp. 102199, 2022.


[4]. J. Brown, R. Smith, and A. Taylor, “AI-driven assistive technologies for dementia care: A systematic review,” Journal of Aging and Health, vol. 32, no. 5-6, pp. 1014 1030,


2021

Ethics and Compliance
✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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