 The coronavirus pandemic has caused widespread devastation across the globe, with millions of deaths and countless cases of illnesses. However, fortunately, vaccine development has provided some hope for those affected. In order to ensure accurate diagnoses, a decision support system was developed based on machine learning and deep learning techniques. This system uses clinical, demographic, and blood marker data to accurately predict whether or not a patient has COVID-19. Additionally, XAI techniques are employed to make the models more precise and understandable. The resulting model achieved an impressive accuracy of 96%, providing a reliable tool for healthcare professionals to use when diagnosing patients. This article was authored by Krishna Rajchadaga, Srikanth Prabhu, Vivekananda Bhatt, and others.