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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM41946
Volume:
9 |
3 |
Mar 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
As the elderly population grows, managing medication adherence and overall well-being becomes increasingly critical. “Medmind: Smart Medicine Management System and Emotionally Adaptive AI for Elderly Care” addresses this challenge by integrating IoT technology, artificial intelligence, and wearable health monitoring into a unified platform. The system consists of a Wi-Fi-enabled smart medicine box that tracks medication levels, a mobile app for real-time management and reminders, and an AI-powered wearable device that monitors vital signs and emotional states. The smart medicine box ensures timely medication refills and intake by sending notifications and alerts to both users and caregivers. The AI-powered reminders are personalized, adapting to the user’s health status and emotional well-being, which is continuously monitored by the wearable device. This integration of emotional and physical health data allows the system to provide holistic care, enhancing medication adherence, reducing errors, and offering proactive health management. Additionally, the system tracks medication expiration dates using entered data, alerting caregivers and guardians when a medication is nearing or has passed its expiry and refill. In addition, Medmind facilitates seamless integration with healthcare providers, ensuring accurate medication lists and timely updates. The system also includes emergency protocols, automatically alerting caregivers or emergency services in critical situations. By combining medication management with emotionally adaptive AI, Medmind aims to improve the independence, health outcomes, and overall quality of life for elderly individuals, while providing peace of mind for caregivers and family members.
KEYWORDS
Publication Date
1/2/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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