Healthcare Assistant-A Tool to Predict Disease Using Machine Learning<bold> </bold>

The rapid spread of Internet technologies and mobile devices has created newopportunities for online health care. There are times when consumers can absorb Internet medical help or healthcare advice more easily than in-person assistance. People prefer to look for a solution or therapy online for mild ailments rather than going to the hospital or seeing a doctor. And people in rural areas sometimes ignore or try to ignore mild symptoms until the sickness has progressed to the point where it is no longer treatable. In many cases, however, these modest symptoms might lead to serious health problems. People ask health-related questions on a variety of healthcare forums (e.g., what kind of ailment they might be suffering from). Another group of people responds to those messages by predicting diseases that may or may not occur. These forecasts, however, may not always be accurate, and there is no guarantee that users will always receive a response to their posts. Furthermore, some posts are manufactured or made up, which can lead the sufferer astray. According to a CNN poll, 25% of users on social networking sites lie. As a result, trustworthiness is a major concern. In recent years, there has been a lot of study toward automated disease prediction, but the accuracy and capacity to process user input have been a key worry. Our proposed application will probably be able to predict the diseases more accurately based on the query or symptoms provided by the patient and also be able to predict the future threats to the health based on the patient's history. For the newly graduated doctors, this application will initially be able to provide medical prescription as an assistance.<bold> </bold>