Tropical life may spread endemic or emerging illnesses via interspecific transmission. The current outbreak of bat-borne COVID-19 emphasizes the need to protect animals. This illness has affected every nation and every age range, from babies to the elderly. Most occurrences of this condition are not lethal, however it may be life-threatening for elderly, newborn, and sick persons. The proposed work was assessed using WEKA to predict parameters and determine the optimum method based on dataset.This article analyzes the spread of CoronaVirus in key states using raw data from the Indian government's website to determine the source and how to manage the problem. Results are formulated utilizing parameters and machine learning methods. IBK, an instance-based learning method using k-parameters from the dataset, is the best classifier for the dataset since it has greatest accuracy and minimal error.