Amidst global demographic shifts, many nations are transitioning into aging societies, posing significant challenges to elderly mental health. This vulnerable demographic necessitates close attention and specialized care. Among the pivotal concerns is mental well-being, where technology plays a crucial role. Facial Expression Recognition (FER) emerges as a promising tool for assessing elderly emotions, vital for effective mental health support. In the realm of human-computer interaction, emotion recognition empowers computers to anticipate human emotional states through observation, facilitating emotionally responsive communication. This project proposes a comprehensive reminder system tailored for elderly care, streamlining medication management, doctor appointments, and caregiver notifications. Leveraging deep learning techniques, the system discerns elder emotions, enabling swift caregiver responses. Built on the Django framework with MySQL for data storage, the accompanying Android application furnishes an intuitive interface for user interaction.