Smart Multi-linguistic Health Awareness System using RASA Model

The Artificial Intelligence (AI) chatbot is becoming more popular and has turned out to be one of the most prominent technologies for user assistance. AI chatbots are used to improve the customer experience by providing automated conversations, minimizing cost, and being capable of providing support in multiple languages. This research study has proposed a multi-linguistic health awareness chatbot for providing assistance to people. This AI chatbot will help people to get their queries answered related to diseases, treatment, and precautions. The advantage of this chatbot is that it is capable of providing information to users in their native language. This multi-linguistic chatbot is based on Natural Language Processing (NLP) model and built using the RASA SDK. To evaluate the proposed chatbot’s performance, the chatbot’s deployment is done using the RASA-X, which is the Conversation-Driven Development environment.