Corona virus is a quickly spreading viral illness that taints people, however creatures are likewise contaminated in view of this infection. The day by day life of people, their wellbeing, and the economy of a nation are influenced because of this lethal viral infection. Corona virus is a typical spreading infection, and till now, not a solitary nation can set up an antibody for COVID-19. A clinical investigation of COVID-19 contaminated patients has demonstrated that these kinds of patients are generally tainted from a lung disease in the wake of interacting with this sickness. Chest x-beam (i.e., radiography) and chest CT are a more viable imaging strategy for diagnosing jump related issues. All things considered, a significant chest x-beam is a cheaper cycle in contrast with chest CT. Profound learning is the best method of AI, which gives valuable examination to contemplate a lot of chest x-beam pictures that can fundamentally affect on screening of Covid-19.This type have taken the PA perspective on chest x-beam filters for Corona virus influenced patients just as solid patients. Subsequent to tidying up the pictures and applying information increase, we have utilized profound learning-based SVM models and analyzed their exhibition