This paper is published in Volume-8, Issue-3, 2022
Area
COVID19 Diagnosis
Author
Vaibhav Dandage, Manjiri Karande
Org/Univ
Padmshri V.B. Kolte College of Engineering Malkapur, Maharashtra, India
Pub. Date
06 May, 2022
Paper ID
V8I3-1187
Publisher
Keywords
Artificial Intelligence, COVID19, Corona Virus, AI Model, Machine Learning, MFCC

Citationsacebook

IEEE
Vaibhav Dandage, Manjiri Karande. Review of COVID19 diagnosis using Artificial Intelligence, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Vaibhav Dandage, Manjiri Karande (2022). Review of COVID19 diagnosis using Artificial Intelligence. International Journal of Advance Research, Ideas and Innovations in Technology, 8(3) www.IJARIIT.com.

MLA
Vaibhav Dandage, Manjiri Karande. "Review of COVID19 diagnosis using Artificial Intelligence." International Journal of Advance Research, Ideas and Innovations in Technology 8.3 (2022). www.IJARIIT.com.

Abstract

For the last two years, the entire world is facing multiple COVID 19 waves. The disease spreads due to Novel Corona Virus 2019 and that’s why the name of the disease is COVID19. The virus is highly infectious and spreads easily. The disease spread throughout the entire world and now we are facing the first pandemic of the 21st century. In this paper, we are suggesting a non-invasive method which can be used easily by anyone to check whether they are having COVID19 or not. We are using a trained AI model to identify the input coughing audio file of a subject to diagnose whether they have been affected by COVID or not. As the incubation period of the virus is nearly 2 weeks, we need to take it into consideration while performing the testing.