Paper Title
AI-Enabled Elder Safety Monitoring System Using Smart Alert Interface

Abstract
The rapid growth of the elderly population has increased the demand for intelligent and reliable safety monitoring systems, particularly for elderly individuals living independently. Elderly people are more prone to risks such as falls, sudden health deterioration, and delayed emergency response. Conventional monitoring approaches often rely on manual supervision or wearable devices, which may be inconvenient or ineffective during critical situations. This paper proposes an AI-Enabled Elder Safety Monitoring System using a Smart Alert Interface that continuously monitors elderly activity using smartphone sensors and artificial intelligence techniques. The system analyses activity patterns to detect abnormal behaviour and automatically generates emergency alerts for caregivers or healthcare professionals. By integrating AI-based anomaly detection with mobile and cloud technologies, the proposed system improves response time, reliability, and accessibility. The system is designed to support independent living while ensuring timely assistance and enhanced elderly safety. Keywords - Elder Safety, artificial Intelligence, Activity Recognition, Smart Alert System, Machine Learning.