A chatbot based auto-improving health care assistant using RoBERTa

Abstract

Artificial intelligence, a revolutionary invention of the modern era, is being utilised in many sectors to serve humanity. Like many other sectors, this technology is providing facilities to the health sector as well. Health care is one of the most essential sectors for the human being, which motivated us to do research to make an AI-based platform for helping people by providing health care facilities, and the knowledge of RoBERTa was used here to train our AI model. We have designed this platform in a very simple way so that patients do not face trouble. It is a healthcare chatbot where a person can set and update reminders for taking medicine or anything related to healthcare by writing a natural language text command. It is capable of providing any kind of health-related information, predicting diseases, suggesting corresponding solutions, and so on. The implementation of NLP techniques enables this chatbot to understand human-level language, so a person can easily use the mentioned features by using natural language commands. A major feature of this chatbot is the auto-improving feature, which can play a significant role in developing the ability to improve the performance of this chatbot by continuously iterating with users. This kind of conversational interaction helps the conversational partner develop the amount of data. Though this chatbot has the capability to deliver an accurate response without having a huge amount of data, increasing the amount of data will enhance its ability to provide a faster response, and this auto-improving algorithm will assist in achieving this goal. Moreover, prescription reading ability is included in this chatbot, which makes it easier to set reminders for eating medicine.