Covid - 19 Forecasting & Prediction Using Machine Learning

Corona virus or COVID-19 may be a hazardous disease that has endangered the health of many people around the world by directly affecting the lungs. COVID-19 is a medium-sized, coated virus with a single-stranded RNA. This virus has one of the largest RNA (Ribonucleic Acid) genomes and is approximately 120 nm. The X-Ray and computerized tomography (CT) imaging modalities are widely wont to obtain a quick and accurate diagnosis. Identifying COVID-19 from these medical images is extremely challenging because it is time-consuming, demanding, and. During this paper, a complete survey of studies on the appliance of ML techniques for COVID-19 diagnostic and automatic segmentation of lungs is discussed in this field; we are concentrating on works. When a review of papers on the forecasting of corona virus prevalence in several parts of the planet with ML techniques is presented. Lastly, the challenges faced within the automated detection of COVID-19 using ML techniques and directions for future research are discussed. Anticipated the potential patterns of COVID-19 effects in India as well as in the world dependent on data gathered from Kaggle.