Project Info

Project Id:11999

COVID-19 is an illness caused by a novel type of coronavirus SARS-CoV-2. The risk of developing severe symptoms appears to be more higher with older people and patients with chronic medical conditions. By March 2021, more than 2.6M deaths and more than 118M people infected with SARS-COV-2 have been reported by World Health Organization (WHO). The increase in the number of infected people has posed a great responsibility to researchers to find effective ways for early detection Although many centers recommend the use of CT scans on Xrays, research has revealed that Xrays can effectively predict which patients are more likely to develop their symptoms, especially for people aged 21–50, therefore early detection of COVID-19 using Xrays scans is very critic, and can help quickly isolating the infected people The objective of the present work is to figure out if there are common characteristics between the lungs X-rays images taken from COVID-19 patients, that differentiates themselves, from the X-rays images taken from patients that does not have COVID-19 In this system several transfer learning models have been used to detect the covid and the accurcay of the models have been depicted.The user uploads the image and the model depicts the probability of presence of COVID-19 in the given Chest X-Rays.

• Multiple Transfer Learning models have be incorporated
• Model with Highest Accuracy are present
• Shows the probabaility of COVID-19 from X-Rays
• web based User Interface