Florence- A Health Care Chatbot
Jahnvi Gupta, Vinay Kumar Singh, I J John Bharath Kumar
Abstract
The most common means by which unwell people receive health related analysis, disease diagnosis, and medicine prescription are hospitals. This has almost become the norm of all individuals around the world. Hospitals are considered the primary and the most reliable means of diagnosis. The proposed idea of this is to make it easier for people to check on their health as compared to the conventional way of standing in a queue for hours before they could get their medication done. In order to build a chatbot, this research aims to apply the use of the RASA framework. As any person, the chatbot can connect with people and take on the user’s symptoms. It will then identify the most likely disease and predict it along with the treatment recommended. This will help people get a quick answer to all their queries without any hassle. This type of system is less known among the people and hence it is not widely used. It will also be of great use to record the nutrients the user has consumed throughout the day.