Automated Fall Detection for Elderly Care Leveraging IoT for Safety

With the increasing elderly population, fall detection systems have become crucial in providing timely assistance to reduce fall-related injuries and fatalities. This project presents an IoT based fall detection system designed to monitor aged individuals in real-time, identifying sudden falls through wearable sensors and environmental data. By leveraging accelerometers, gyroscopes, and sense motions, the system detects abrupt changes in posture or unusual movements indicative of a fall. Upon detection, the system immediately sends notifications to caregivers or emergencycontacts, providing real-time alerts along with location information to facilitate quick intervention. This solution makes things safer and helps families and caregivers feel more at ease and caregivers, offering a reliable, efficient, and scalable approach to elderly care using IoT technology.