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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM12351
Volume:
6 |
4 |
Apr 2022
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Since its inception of 2020, COVID-19 had a devastating impact on the universe. The loss of life has been huge and the global economy has been in total disarray. Even as we approach the end of the year (2022), there appears to be no plausible solution for the deadly virus. The other is to quarantine an infected person, till he/she feels better. By this, we mean to say that if a person shows any of the symptoms, like fever, heavy breathing, etc., they must not be allowed access to public places or gatherings. This web application gives us an idea if the person in the given x-ray is covid positive or negative. We have devised a web application, which uses a Machine Learning model to detect COVID-19, by analyzing the chest X-ray images of the patient. The program is quite accurate in distinguishing these images, and can be used as a simple, cost-effective and user-friendly means to identify a potential COVID-19 infected patient.
KEYWORDS
Publication Date
4/20/2022
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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