CHILD MORTALITY PREDICTION USING MACHINE LEARNING TECHNIQUES

Abstract

The principle point of this undertaking is to plan the controlling and monitoring the child safety using IoT. This venture is actualized Arduino Uno, Node Mcu, and progressed locally available regulators for safety application. Now a day’s child safety is important, so we can develop the “CHILD SAFETY WEARABLE DEVICES”. The devices consist of a child safety. This device is programmed for daily activity in child. Any dangerous or go to unknown location for child when this device automatically send alert on the parent mobile, because the device programmed for particular location on child daily activity. The devices very help to school children. It working devices, iot based solution using magnetic sensor to identity the child position in real time using for temperature sensor. This work for physically analysis of body temperature, heartbeat etc. The daily activity of children and also help find the child using Wi-Fi This is followed some characteristics of high reliability, short response time, high accuracy. The requirements enable to children’s safety.