Digital Companion for Elders in Tracking Health and Intelligent Recommendation Support using Deep Learning

Ambient assisted living (AAL) facilitates the daily routines of elderly people, particularly those who have clinical difficulties or physical limitations. The latest technologies like distributed compuring,internet things (IoT) and machine learning pave ground for creation an effective automated tracker which aids elder citizens to live independently. suggested system is attempted design a wearable that monitors blood glucose level through sweat. To achieve high accuracy, proposed uses ambient sensing deep based techniques. It places strong emphasis on calculating health index by taking into account numerous disease-related characteristics vitals such as heart rate, pressure, SpO2, level, respiration sweat uric acid, temperature. From device designed vital signs are gathered, further environmental sensors camera fixed around person continually behavioral pattern along with physiological signals. This ensures improved accuracy state prediction from its conventional models in place. key advantage this it may be held operated anyplace without interrupting their day-to-day tasks because cheap, reliable speedy.