Machine Learning based Health-Care Chatbot

Abstract

Healthcare is essential to lead a good life. However, it is rather difficult to procure the consultation with the physician for each and every well-being problem. As we all know the world is suffering from a pandemic situation still. Our GDP gradually decreased, as of now it has web application but with less functionality to spread awareness of COVID-19 and to connect essential COVID-19-related health services to the people. The thought is to create a medical chatbot (Viro-attack) using Artificial Intelligence that may diagnose the disease and provide fundamental information about the illness sooner than consulting a health care provider. This will lend a hand to scale back healthcare prices and strengthen accessibility to medical knowledge thru scientific chatbot. This Viro-attack web application helps us to get updates related to COVID-19 and it spreads awareness about Corona virus in this web application. It also provides a vaccine related updates and current active cases in nearest locality of the user. And this web application will be containing all the COVID-19 related information and the user can also get their health status in the web application by entering their current symptoms if they have any. The Viro-attack stores the information in the database to spot the sentence keywords and to make a question resolution and answer the query. Ranking and sentence similarity calculation is performed the use of n-gram, TFIDF and cosine similarity. The score might be obtained for every sentence from the given input sentence and more equivalent sentences can be acquired for the query given. The third celebration, the skilled program, handles the question introduced to the bot that’s not understood or isn’t providing in the database.