ABSTRACT
The situation of the novel coronavirus is deteriorating day by day. There are more than 373 million cases recorded across the globe to date. The first incident of the disease was reported in China's Wuhan province in the month of December 2019. The virus is called COVID-19 which is an abbreviation for Corona Virus Disease 2019 or 2019-nCoV. The covid virus belongs to the same virus family as SARS, which stands for the severe acute respiratory syndrome. To date, approx. 5.5 million people have died due to the virus. The worst affected countries are the USA, India, Brazil, France, and Turkey. Most countries face the Second Wave of the coronavirus, which is more dangerous than the previous wave. India is currently passing through a rough phase, registering more than 50,000 positive cases daily for the past few weeks. Around 1000 people are dying every day as per the official data issued by government bodies. With a population of 1.4 billion people, it is challenging to break the chains of the spread of the disease. The country is facing serious medical shortages which include Oxygen support, medicines, ICUs, and Ventilators. A sudden surge of the cases created a panic situation across the country. It is nearly impossible to calculate the actual cases and the number of deaths. The conventional Rapid Antigen tests and RT-PCR tests (i.e., real-time polymerase chain reaction) are not completely efficient and quick. The Rapid Antigen tests have just 50 -60% accuracy, and the RT-PCR test takes 24 to 48 hours to declare whether a person is Covid positive or negative. Time plays an important role during covid. The early the infection can be detected, the early that person can start his/her medications, consult a doctor, and isolate himself/herself to prevent further spreading of the virus. So, in this study, X-Ray scans are used to ascertain whether a person is covid positive or not in few seconds. A Machine Learning model is also included in the study to forecast the number of instances in the next few days. © 2022 IEEE.