Abstract: An infectious condition called COVID19 is brought on by a recently identified corona virus. A significant number of lives have been tragically lost as a result of the pandemic. Numerous coronavirus vaccines are being produced, yet thousands of cases continue to appear in different parts of the world. So, prompt & efficient testing is required to stopthe pandemic. Chest x-rays have lately been revealed to be a highly reliable predictor of COVID 19, according to numerous studies. Although chest X-rays cannot be used exclusively to diagnose COVID 19, because the results are immediate, people with positive results may be quickly separated. In this study, we use image classification with Convolutional Neural Networks learning to determine from a chest X-ray image whether a person has COVID-19.

Index terms: Convolutional neural networks, COVID 19 virus, corona virus, machine learning, and deep learning

| DOI: 10.17148/IARJSET.2022.9749