Coronavirus (COVID-19) still poses a worldwide public health threat. In fact, it needs a full effort to control the dominant population. The new coronavirus is spreading around the world. This new coronavirus appeared at Wuhan and caused many inconveniences everywhere. The unfold of COVID-19 is increasing every day, enforcing human lives and financial system at risk. Due to the improved enormity of the variety of COVID-19 cases, the role of artificial Intelligence (AI) is vital within the modern-day scenario. AI might be a powerful device to fight against this pandemic outbreak by way of predicting the wide variety of instances earlier. Deep mastering-based totally time collection techniques are taken into consideration to are expecting world-huge COVID-19 cases in advance for quick-term and medium-term dependencies with adaptive studying. To start with, the statistics pre-processing and feature extraction is made with the real international COVID-19 dataset. This study, therefore, aimed to apply the linear regression, RBF network, SMO reg modeling approach for projecting coronavirus (COVID-19) prevalence patterns in southern states of Tamilnadu Countries, mainly Kerala, Tamilnadu, Andra pradesh, Madya Pradesh and Karnataka.
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