An edition of Ai-Powered Emergency Alert System for Elderly People Using Health Vitals
Ai-Powered Emergency Alert System for Elderly People Using Health Vitals
by International Research Journal on Advanced Engineering Hub (IRJAEH)
on October 6th, 2025 | History
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Elderly healthcare has long relied on manual monitoring and hospital visits, often failing to provide timely responses to critical health conditions. With the increasing geriatric population and rise in age-related illnesses, the lack of continuous health surveillance has become a major contributor to preventable emergencies. Traditional systems lack predictive intelligence and real-time alerting, resulting in delayed interventions and higher fatality risks. To tackle this challenge, we introduce an AI-driven emergency notification system that provides continuous surveillance of key health indicators like heart rate, blood pressure, and body temperature in senior citizens. The system, developed using the Flask framework, incorporates machine learning algorithms to analyze historical and live health data, triggering immediate alerts when anomalies or risk patterns are detected. Results from simulation and prototype testing indicate improved detection accuracy, timely risk prediction, and reduced response latency. This approach provides a cost-effective, scalable solution for proactive elderly care in both urban and rural settings
Publish Date
2025-09-23
Publisher
Unknown
Language
English
PPI
300
Previews available in: English
Subjects: elderly healthcare, emergency alert system, health vitals, real-time monitoring, machine learning, predictive analytics, Flask