Abstract: The current number of working mothers has increased dramatically. Later, child-rearing has become a daily challenge for many families. Thus, many parents send their children to grandparents' homes or to daycare centers. However, parents are not always able to monitor their children's every move. Therefore, the Internet of Things-based Baby Monitoring System (IoTBBMS) is being proposed as an efficient and inexpensive IoT-based monitoring system in real time. We also came up with a new algorithm for our system that plays a key role in providing better child care in the absence of parents. In the design process, the Node Micro-Controller Unit (NodeMCU) is used to collect sensor-readable data and upload it via Wi-Fi to the AdaFruit BLYNK server. The proposed system uses sensors to monitor important fetal parameters, such as ambient temperature, humidity, and crying. The system structure consists of a baby's crib that will automatically swipe using the engine when the baby cries. Parents can also monitor their children's condition with an external webcam and open a playful toy located on the baby's crib from a BLYNK server to entertain the baby. The proposed prototype of the system is designed and tested to prove its cost-effectiveness and simplicity and to ensure safe operation to enable child rearing anywhere and anytime via the network. Finally, the child monitoring system is proven to be effective in monitoring the child's condition and the environment in accordance with the model. All data taken from the sensors / modules will be stored in the Mobile application and periodically updated. The Health Algorithm is used in these databases to get information about useful physical conditions as any common symptoms of the disease can be easily identified. The proposed prototype of the system is designed and tested to prove its cost-effectiveness and simplicity and to ensure safe operation to enable child rearing anywhere and anytime via the network. Finally, the child monitoring system is proven to be effective in monitoring the child's condition and the environment according to the prototype. Keywords: IOT, Research, Node MCU, BLYNK, MQTT