Introduction: Classification is one of the most important research and applications of machine learning techniques. Research in the area of human-machine interaction and machine learning contributed to the success of Chatbots. Objective: This research concentrates on some of the most important developments in machine learning classification research and the issues of Coronavirus Disease 2019 (COVID-19). Since December 2019, COVID-19 has been causing a massive health crisis all over the world resulted in 5,418,237 confirmed and 344,201 death COVID-19 cases to date (24.05.2020). Clinical ex perts say that COVID-19 patients to be diagnosed in early-stage to save their lives. Methods: This study attempted to detect COVID-19 patients who can recover from the disease, using machine learning tech niques, so that suitable treatment can be given to the patients to save their lives. Support Vector Machines (SVM), Artificial Neu ral Network (ANN), Decision tree, K- Nearest Neighbors (KNN), Random Forest and Logistic Regression algorithms are used to evaluate the classification performance. Result and Conclusion: In this paper, a Chatbot was developed using the best algorithm evaluated to serve the society suffer ing from COVID-19.