International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 04 | Apr 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 5375 A Chatbot Supported Smart Interactive Healthcare System Ashutosh Sharma 1 , Pooja Shingate 2 , Shivam Shivgan 3 , Roshan Bauskar 4 1,2,3 Student, Department of Computer Engineering, L.E.S. G.V. Acharya Institute of Engineering and Technology, Maharashtra 4 Asst. Professor Department of Computer Engineering, L.E.S. G.V. Acharya Institute of Engineering and Technology, Maharashtra ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - In the world of healthcare, we’re yet far from having incredibly smart machines that have the potential yet to replace the typical medicinal suppliers. Chatbots can open up an entryway into the world where Artificial Intelligence is getting advanced, especially in the domain of healthcare, where patients will convey their problems with a messenger and get a consultation without wasting any time.The technology at the core of the rise of the chatbot is natural language processing ("NLP").Recent progression in machine learning have greatly improved the quality and potency of natural language processing, making chatbots a viable option for many organizations. This improvement in NLP is ignition a great deal of additional research which should lead to continued change of state in the potency of chatbots in the years to come.Chatbots are computer programs able to carry out near - natural conversation with people. In this work, we describe the development of chatbots from a vestigial model to an advanced brilliant system. Healthcare has become an captivating market for companies developing chatbot applications for patients and clinicians. The idea is to provide a single point contact to the patient and his relatives to get all their queries resolved and for the hospital to focus on their starring tasks and not lose focus on non-primary activities. Key Words: Healthcare chatbot with natural language processing(NLP), Word Order Similarity between Sentences, Artificial Intelligence, health tips. 1. INTRODUCTION A Chatbot is a system that can interact with human users with natural language. The vast amount of information that is available on the internet allows Chatbots to provide accurate and efficient information based on the user’s requirements. Chatbots are used in domains like Customer Support, Virtual Assistance, Online Trainings, and Online Reservations and also for general conversations. The proposed Medical Chatbot can interact with the users, giving them a realistic experience of chatting with a Medical Professional. There has been a recent upsurge in speech based search engines and assistants such as Siri, Google Chrome and Cortana [1]. Natural Language Processing (NLP) techniques such as NLTK for Python can be applied to analyse speech, and intelligent responses can be found by designing an engine to provide appropriate human like responses [2]. Some chatbots presents a technology demonstrator to verify a proposed framework required to support such a bot (a web service). While a black box approach is used, by controlling the communication structure, to and from the web-service, the web-service allows all types of clients to communicate to the server from any platform. With the modern era of connectivity and technological innovation, smartphones have rapidly gained the popularity and most users have their smartphones on or near them throughout the day. There is a growing number of hospitals, nursing homes, and even private clinics, now use online Chatbots for healthcare on their websites. These bots interact with potential patients visiting the site, helping them find doctors, scheduling their appointments, and getting them access to the right treatment. In this paper, however, the use of artificial intelligence in an industry where people’s lives could be at stake, still sparks apprehensions in people. 2. LITERATURE SURVEY Many people suffering with dementia retain much of their conversational abilities as their illness progresses. However, the shame and frustration that many dementia sufferers experience often make routine, everyday talks with even close family members challenging. From research paper, we have studied that many people with Alzheimer’s disease struggle with short-term memory loss. As such, the