Domestic and self-remote healthcare paly a huge role when it comes to the elderly. Not only limited to the senior citizens but can also be of help to physically challenged people. The opens up huge opportunities for development in health care and medical devices. The system we propose is purely meant for domestic applications but regardless of that, same technology can be used in medical industry as well. Although similar technologies have been emerged there is still on better open source and low cost solution. The system is designed in such a way that it is capable of measuring various human body factors. Various sensors are used to determine the health structure of the patient. Basic sensors like DS18B20 digital temperature sensor, MLX90614 Non-Contact Infrared Temperature Sensor, Pulse rate sensor, ECG module, spirometry sensor and more can be used to collect primary body factors. Complex sensors like those used in body composition meters can also become part of the system to provide specific data like fat, water, bone and muscle percentage. More accurate sensors can even determine weight, body age, BMI and resting metabolism. These sensors are to be connected to the Arduino Uno or Nano microcontroller. Arduino is to be programed in such a way that it is not to be limited to number of sensors. The Arduino will mainly act as a sensor manager and help the system collect the data for further processing. The collected data is further be sent to Node MCU. Node MCU is another microcontroller with inbuilt ESP8266 Wi-Fi module and MCU based Arduino architecture. Node MCU will received the data from Arduino via serial communication established between them. Node MCU will act in master mode and will then be used to command Arduino for the sensor data that is been requested by the user. The input to the system specifically Node MCU will over intranet where MCU will act as a server to provide repose to the user requests. This system is based on a cloud platform and hence the data is to be uploaded on to the cloud. When performing this task MCU goes to client mode and requests the cloud for upload. System keeps track of the daily data that it’s been collecting in the past. This data is then shared with doctors through a website where doctor can analyze the condition of the patient and provide further details online. Analytic like Watson and Mat Lab can be used to perform data analysis on to the information collected by the system over cloud. Patients and their respective doctor can communicate with one another on this platform and can go back and view the past data any time they want. If system detects any abrupt abnormalities in patients any of the health condition like heart rate or body temperature, the system automatically notifies the user about the patient’s status over there Android phones or web portal, and also shows details of the patient in real time over the internet. Patient’s health parameter data stored over the cloud makes it even more beneficial than maintaining the records in physical format or digital memory storage devices. Because there are chances that these devices can get corrupt and data might be lost. Whereas, the cloud storage is more reliable and does have minimal chances of data loss. Thus this cloud and IoT based health tracking system effectively uses internet to monitor patient’s health stats and save lives on time.