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COVID PATIENT HEALTH MONITORING USING INTERNET OF THINGS
With the COVID-19 cases on the rise this project seems to effectively provide a cost effective and accurate solution for the diagnosis of the novel corona virus among the mass public. This research paper presents the design and implementation of an IoT based project that is capable of recording the user’s vitals such as Pulse rate, SpO2 and Temperature, all of which serve as important indicators of the novel corona virus. Once recorded, the sensors then send the data over to the Arduino UNO micro controller which in turn pushes it to private cloud server using a Wi-Fi module wherein the data can be used for various analysis and visualizations such as scatter plot, histograms and so on. A website then shows the entries made using the micro controller along with the latest COVID-19 statistics and WHO guidelines that have been provided. The results at the prototype stage look really promising and provide a foundation for the project to be scaled upon on a larger scale since the project helps us to curb the virus by introducing viable monitoring methods which can serve as replacements to the traditional and more expensive alternatives.
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