Introduction: In this current situation where COVID-19 pandemic has affected the whole world, it is high time to take a step to check the expansion of COVID-19. WHO declared it conversely a pandemic and as an emergency. The clinicians and scientists in medical industries are observing for the technologies with which they can perform screening on the medical images to detect the COVID-19 virus in a person. Objectives: Early identification, screening, acquaintance tracing, prediction, drug/vaccine development and detection with the application of assorted models and algorithms of AI and ML for COVID-19. Methods: Different analyses performed by various researchers using machine learning algorithms and Deep Learning Models using Chest X-rays, Blood Tests have been presented. Different techniques and devices used for acquiring the data through various experiments are also presented. Results: This paper presented a few techniques followed by various researchers; accuracy, sensitivity, recall achieved by the methodologies have been presented. Conclusion: Data collection plays a major role in analyzing the COVID-19 where most of the researches find it very difficult, and early diagnosis also plays a major role in the early detection and control of the widespread of COVID-19. © IJCRR.