Healthcare Consultation and Symptom Response Chatbot Powered by Medical NLP Dialogue Understanding

Abstract: People can get information and services from chat- bots in a way that feels like talking to someone. Medical care is very important to everyone. It can be hard to go see a doctor for everything that is wrong with us. We want to make a healthcare chatbot that uses intelligence and can give people some basic information about what might be wrong with them before they go see a doctor. The chatbot uses a kind of technology called Natural Language Processing. This technology helps the chatbot understand what people are saying in their words. This makes it easy for people to talk to the chatbot and get help. The chatbot can look at what symptoms a person’s experiencing and suggest some possible treatments, for medical issues. People need help with care and that is what the healthcare chatbot is, for. The healthcare chatbot is a tool that helps people get the care they need. It looks at the symptoms to figure out if the problem’s serious or not. The user should still go see a doctor. If the healthcare chatbot says the problem is not serious the user can take care of it themselves. If the healthcare chatbot says the illness is serious the user should go see a doctor because the healthcare chatbot is not a doctor. Our system looks at the symptoms of the case to help the user pick the medicine and things to prevent the illness. The Python package Natural Language Toolkit does a job of understanding English language that is written in code. It looks at what the user says and gives answers that sound like they are, from a person. The Natural Language Toolkit is used for Natural Language Processing. It helps the chatbot understand what the user is saying and gives answers. The chatbot uses Natural Language Toolkit to make sure the user gets an answer.