International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 05 | May 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 5209 Virtual Medical Prediction using Artificial Intelligence (AI) Rohini R T 1 , Dr. Shanta Rangaswamy 2 1 M.Tech(CSE) student, 2 Associate Professor, 1,2 Dept. of Computer Science and Engineering, Rashtreeya Vidyalaya College of Engineering, Bengaluru, India ----------------------------------------------------------------------***--------------------------------------------------------------------- Abstract-A chatbot is a Software Application program, which interacts with everyone. It is a layer on top of, or a gateway to, a service. Developed by Machine Learning Algorithm’s (the chatbot gets smarter the more one interact with it). Artificial Intelligence (AI) provides the extreme potentiality to imitate the human process of sensing, intelligent and act correctly to a computer. Chatbot’s are the computer programs operated using Natural Languages to communicate with users. However, Chatbot’s runs completely on Artificial intelligence, so utilizing this proficiency have determine to append few benefactions for the Health Information processing. A MedChatbot system has different expressions posed such as Chatterbot, virtual agent, machine conversation system and dialogue system. The aim of this approach is to mimic a human conversation; a language representation and computational algorithms are combined in the architecture to emulate casual chat. The functionality of medical Chatbot’s rely on Natural language processing (NLP) which assist users to give particular issues regarding well-being. The users can question any private query associated to health informatics through the conversation system without visiting the hospital. The query that presented from the user is sent to the chatterbot and it provides response, which is displayed on the conversation page. The major concern of the system is to develop a web-based platform to examine customer’s sentiments. KeywordsMachine Learning Algorithm, Artificial Intelligence, MedChatbot, dialogue system, Natural language processing, web-based platform. I. INTRODUCTION Chatbot is created using artificial intelligent that can talk with humans and used as information asset. The model runs on the Computer system and mobile phones over the Internet, which has the ability to compelling, captivating, and spell bounding. The input of conversational dialog system is in natural language sentences; allow users to ask in a specific field or area and or on a peculiar issue and output is Predefined knowledge base assist to develop responses to the query. Usually the users of the chatbot either ask some question or commence a new topic for discussion. Chatbots also known as Software agent, which acts as human entity with AI embedded and provide response to users query using NLP. The aim of the method is to deploy the language space between user and health care distributor by providing immediate response to user’s question. Today’s people much dependent on internet but are not concerned of one’s own health and people do not visit hospitals for minor issues that may be a vital disease in destiny. Developing a question answer forum is a straightforward method of conversation rather than browsing in the web for relevant document. [7] The three analysis that recognize natural language are: first the parse subject is completed and identifies the linguistic of the sentences for object relations. Second, the text descripted, finally, the meaning of word is extracted from knowledge of semantic interpretation. Chatbot acts as an entity that simulate user conversion in specific approved structure i.e., text based on Natural Language Processing (NLP) technique. The development of this system is done by making of User Interface to sending and receiving messages. The chatbot application interacts with user and keep track of the interactions state. To provide functionality the system recollects the preceding commands. Artificial algorithms are used to develop Medical chatbot that examine user's queries, identify, and provide response to related query. Usually a severe disease starts from minor problems like headache that feels common; however, it might be a critical problem if it is brain tumor. Hence, the diseases are recognized based on the symptoms then the patient body is analyzed frequently. MYSQL is included in the central part of the model and system response to the user by an methodical Graphical User Interface (GUI), makes users to feel as physically Doctor is messaging. The applications of conversion system in different domain are healthcare, education, and route assistance. [8] Fig. 1 Block Diagram of Chatbot [7] As in Fig. 1, User Query: The user initiates a conversation with the bot by asking it queries, these queries in turn creates: Intents: are the classes that help to design or create meaningful user queries, helping to create categories for different user queries. Entities: are the parameters of the user query that help the bot to extract responses based on the keywords. Responses: After the bot process the intents, it generates responses and displays them to the users. [7] The proposed Medical Chatbot can interact with the users, giving them a realistic experience of chatting with a Medical Professional. Chatbot can detect human message patterns using AIML (Artificial Intelligence Mark-up