Project Info

The current coronavirus (COVID-19) pandemic has led us to the healthcare, global poverty and socioeconomic crisis. One of the most significant task in this pandemic is to accurately and efficiently diagnose the COVID-19 patients and to monitor them to make prompt decisions and take appropriate actions for their monitoring, management and treatment. The early diagnosis of COVID-19 was a very troublesome and difficult challenge that CAD (Computer-Aided Diagnosis) methods successfully tackled. The CXR (chest X-ray) method proved to be a very low-cost and effective alternative to Computed Tomography (CT) scan and Real Time Polymerase Chain Reaction (RT-PCR) test, which were previously the most commonly used methods for COVID-19 diagnosis.This model aims at the detection of COVID 19 severity in the patients whwether that particular person has been affected by Pneumonia on attack of COVID-19 or is he healthy.Transfer learning has been applied to the model in order to learn and predict the disease in the given Xrays.The images are loaded through Url and model outputs the Disease as Pneumonia or Not.

• Model detect pneumonia from the URL's
• Provides Highest Accuracy
• Web Based User Interface