GRENZE International Journal of Engineering and Technology
Vol. 11
(2025), Issue 1
Old Age Management System through Machine Learning
Authors
Rashmi M R, Anvitha N B
Abstract
The Old Age Management System (OAMS) is an innovative solution designed to address the healthcare and emotional needs of the elderly population worldwide. Through a multifaceted approach, OAMS integrates medicine management, emotion detection using Convolutional Neural Networks (CNNs), donation management for old age homes, and secure storage of healthcare records. The system ensures adherence to medication schedules, tracks dosages, and provides timely reminders to minimize errors and improve health outcomes. Emotion detection enables caregivers to monitor emotional states through facial expressions and physiological indicators, facilitating prompt support and intervention. OAMS also fosters community involvement by facilitating donations to old age homes, and promoting eldercare initiatives. Furthermore, the system prioritizes the security and confidentiality of healthcare records through advanced encryption techniques and secure databases, ensuring accessibility when needed. Overall, OAMS offers a comprehensive solution to enhance the quality of life for elderly individuals while providing reassurance to caregivers and family members.
Pages:
1438 - 1442