COVIDETECT: A TKINTER DESKTOP APPLICATION TO DETECT CORONAVIRUS USING CHEST CT-SCAN

Abstract

We are currently facing the threat of the Coronavirus Pandemic. The daily lives of people have come to a standstill. Tests to find out whether a person has contracted the virus are being conducted on a large scale. Due to this, the results are taking a long time to be released to the general people. This report proposes a desktop application built using the tkinter library which will help to detect COVID by checking for abnormalities in CT-Scan. This system tries to give a somewhat accurate prediction of whether the user is infected by coronavirus or not. This system basically tries to help the user to make use of his/her CT-SCAN images to predict corona virus in minimum time as compared to traditional tests. This system can be used as a primary or an intermediary step in the detection of the virus.