HEALTHCARE CHATBOT SYSTEM AND IOT BASED HEARTBEAT MONITOR USING ARDUINO

As we all know that in today’s world we are facing newly diseases in which it has become very difficult to identify the diseases and its symptoms. The various diseases that are rising are diabetes hypertension cholesterol imbalance obesity, fever, cold, cough and many more [3]. People are seeking medical advises around the world looking forward to lower the risk of diseases [1]. A medical chatbot can be of a great help that can stimulate conversation with users as a medical assistant [7]. So this chatbot can give filtered information of all the sources [13]. This chatbot can help users to keep track of health status and health hazards [15]. As the AI keeps growing various technologies are introduced in the market, one such technology is virtual chatbots [20]. When a person feels sick they usually visit the family doctor or a clinic nearby but this chatbot will be able to deal with the patients in a better way and reduce the efforts through medical assistant [2]. They can be used for either predictive diagnosis or for information [4]. This medical chatbot can also help in reducing the psychological stress caused amongst humans [7]. The main purpose of the chatbot will be to collect patient symptoms and offer a potential diagnosis and consultation based on their response [9]. So this chatbot will recognize and evaluate voice commands and perform activities [16]. Medical assistance use NLP to create a chatbot which provides medical and health related information [21][22]. There are various challenges that the chatbots undergo that is it requires a detailed understanding and research related to this domain [20]. These medical assistant chatbots has a major role in healthcare industry for providing predictive diagnosis [18]. This project focuses on accurate and immediate prediction of disease based on symptoms with general idea of this project is to provide basic details about the disease or infection before consulting a doctor so that it may reduce the cost and improve the medical knowledge through medical assistant [17].