Covid-19 prediction using human x-rays based on convolutional neural network

COVID-19 is an extremely serious disease caused by COVID-2 (SARS-CoV-2), an extremely severe respiratory condition. COVID-19 was discovered in Wuhan City, China, in December of 2019 before spreading around the world and becoming a pandemic. It has had a significant impact on daily life, general well-being, and the global economy. Distinguishing the effective positive cases at the right time is critical in the early stages of treatment. Detecting this virus necessitates a large number of tests, which takes time, and no other automated tool kits are currently available. X-ray images of the chest obtained through radiology imaging methods reveal important information about the COVID-19 infection. Deep learning methods on radiological images using advanced technologies such as artificial intelligence provide precise analysis of the infection and can be useful in treating patients in remote locations where medical facilities are not immediately available. Convolution neural networks, one of the deep learning methods used in the proposed model, are used to classify the person as Covid positive or negative by analysing images of chest X-rays.