Web Based COVID Detection System using Deep Learning

Abstract

Abstract Currently COVID-19 is a disease that is ravaging the entire globe. Generally, people affected with COVID-19 will come down with a mild to moderate respiratory illness. Detecting COVID-19 has become a major concern in hospitals due to the sheer number of people who claim to have been suffering from the symptoms. This work presents a solution to this problem where the patient can determine whether he/she has COVID-19 or not. This research work tries to identify whether a person is infected with COVID or not by processing the X-Ray scan of the chest area using Deep Learning with the aid of a Neural Network. X-Ray images obtained from a GitHub repository have been used to train the model. Then the model can predict using the X-Ray image obtained from the user. Aweb application has been developed, to make this process seamless and efficient. The trained neural network is used to process the given image. This will be done in the back-end of the web application. If the person is infected with COVID, the application makes use of an advanced AI searching algorithm to find the most suitable physician based on the requirements of the user.