Bilingual Chatbot For Covid-19 Detection Based on Symptoms Using Rasa NLU

Accessibility to medical knowledge andhealthcare costs are the two major impediments for the commonman. Conversational agents like Medical Chatbots, which aredesigned keeping in view medical applications can potentiallyaddress these issues. Chatbots can either be generic of specificin nature. Covid-19 is a communicable disease and earlydetection of it can let people know about the seriousconsequences of this disorder and help save human lives. In thisarticle, we present a specific text-to-text Chatbot that engagespatients in the conversation using advanced Natural LanguageUnderstanding (NLU) and Natural Language Processing (NLP)techniques using Rasa Framework, to provide a personalizedprediction based on the various symptoms sought from thepatient. The Chatbot handles two languages: Arabic andFrench, then according to the analysis result, it suggestsmeasures and actions be taken in order to serve life and preventthe spread of this virus which has devastated the whole world.