AI-Enabled Real-Time Health Monitoring for Elderly Care: A Smart Solutions Approach
Authors:-Rajesh.S
Abstract-The aging global population presents unique challenges to healthcare systems worldwide, particularly in the realm of elderly care. With the increasing number of elderly individuals suffering from chronic conditions and requiring long-term care, the demand for innovative solutions to monitor their health in real-time has never been more urgent. Artificial intelligence (AI) and machine learning (ML) offer promising technologies that can revolutionize elderly care by enabling continuous health monitoring, early detection of health issues, and personalized interventions. This paper explores the role of AI in real-time health monitoring for elderly care, focusing on wearable devices, sensors, and AI-powered analytics. By combining real-time data collection with predictive analytics, AI systems can alert caregivers to potential health risks, such as heart attacks, falls, or medication non-adherence, allowing for timely interventions. The paper discusses various applications of AI in elderly care, challenges related to data privacy and security, and the future potential of AI in supporting independent living for seniors.
