ELDER CARE – AI Based Emotion Recognition and Medicine Reminder for Elder People

Abstract

Population aging is a global phenomenon requiring innovative care solutions. This project develops an AI-based system integrating facial emotion recognition with health management features for elderly care. Using Convolutional Neural Networks (CNNs), the system analyzes facial expressions to detect emotions (happiness, sadness, anger, fear) with 89alerting caregivers to potential distress. Complementary modules provide personalized medicine reminders, hydration alerts, and doctor appointment scheduling through an Android application. The technical implementation combines Django for backend services, MySQL for data storage, and Keras for deep learning. The mobile interface features large fonts and simple navigation tailored for elderly users. Testing demonstrated 87emotion classification and 92Key innovations include: (1) real-time emotion monitoring with caregiver alerts, (2) adaptive notification systems for medication adherence, and (3) integrated healthcare coordination tools. The system addresses critical gaps in existing elder care solutions by providing comprehensive emotional and physical health monitoring through an accessible platform.