ABSTRACT
Accessibility to medical knowledge and healthcare costs are the two major impediments for the common man. Conversational agents like Medical Chatbots, which are designed keeping in view medical applications can potentially address these issues. Chatbots can either be generic of specificin nature. Covid-19 is a communicable disease and early detection of it can let people know about the serious consequences of this disorder and help save human lives. In this article, we present a specific text-to-text Chatbot that engagespatients in the conversation using advanced Natural Language Understanding (NLU) and Natural Language Processing (NLP) techniques using Rasa Framework, to provide a personalized prediction based on the various symptoms sought from the patient. The Chatbot handles two languages: Arabic and French, then according to the analysis result, it suggests measures and actions be taken in order to serve life and prevent the spread of this virus which has devastated the whole world.