Healthcare chatbot system using multinomial naive Bayes algorithm.

Computer engineering

In the current situation of covid-19 we faces the barrier for performing various task health consultation is one of them. Taking care of our and our family’s health is most important but due to that situation it gets difficult. For the solution of this problem machine learning and chatbot application idea step in. Machine learning is one of the core of artificial intelligence. With the help of that system can take the data, search patters, uses various algorithms and learn and improve itself using the data. The Chatbots is a tool which is use to communicate with user using natural language processing. Nowadays the use of Chatbots has widely spared for everywhere. Chatbots are getting use in health industry which will help to solve health problems. Chatbot for health consultation are becoming popular. This Chatbot will be very helpful for the healthcare industries as well as patient. With the study of various symptoms and solutions over that our system will provide satisfying solutions over symptoms and medications as well as doctors recommendation. Using multinomial naïve Bayes algorithms by calculating the probability of each word occurrence it will generate the accurate result over the input data.

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