International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences
E-ISSN: 2349-7300Impact Factor - 7.043

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal Since 2013

Call for Paper Volume 9 Issue 6 November-December 2021 Submit your research for publication

Smart COVID Kit

Authors: Swati Tanpure, Khushbu Bagde, Kalpak Navrange, Shreyash Ubhad, Prof Arpit Chaudhari

Country: India View / Download Full Text PDF File


Abstract: There are several activities and approaches being applied to help reduce the reproduction rate of COVID-19. These include self-isolation methods such as working from home, improved basic hygiene such as increased hand washing and the deployment of personal protective equipment (PPE) to reduce the prospect of infection.

Smart and connected health-care is of specific significance in the spectrum of applications enabled using the Internet of Things (IoT). Networked sensors, either embedded inside our living system or worn on the body, enable to gather rich information regarding our physical and mental health. In specific, the accessibility of information at previously unimagined scales and spatial longitudes combined with the new generation of smart processing algorithms can expedite an advancement in the medical field, from the current post-facto diagnosis and treatment of reactive framework, to an early-stage proactive paradigm for disease prognosis combined with prevention and cure as well as overall administration of well-being rather than ailment. This paper sheds some light on the current methods accessible in the IoT domain for health-care applications. The proposed objective is to design and create a health-care system centered on Mobile-IoT by collecting patient information from different sensors and alerting both the guardian and the doctor by sending emails and SMS in a timely manner. It remotely monitors the physiological parameters of the patient and diagnoses the illnesses swiftly. So that we are proposing a system which will work on the evaluation of such system which automatically evaluates whole data from sensors connected to body of patient and monitor if any risk occur, and show alerts to the doctors.

Keywords: Healthcare System, IoT, Internet of Things, Naïve Bayes Classification Algorithm, Node MCU, Android


Paper Id: 1091

Published On: 2021-07-18

Published In: Volume 9, Issue 4, July-August 2021

Cite This: Smart COVID Kit - Swati Tanpure, Khushbu Bagde, Kalpak Navrange, Shreyash Ubhad, Prof Arpit Chaudhari - IJIRMPS Volume 9, Issue 4, July-August 2021.

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