Through chatbots one can communicate with text or voice interface and get reply through artificial intelligence. Typically, a chat bot will communicate with a real person. Chat bots are used in applications such as ecommerce customer service, call centres and Internet gaming. Chatbots are programs built to automatically engage with received messages. Chatbots can be programmed to respond the same way each time, to respond differently to messages containing certain keywords and even to use machine learning to adapt their responses to fit the situation. A developing number of hospitals, nursing homes, and even private centres, presently utilize online Chatbots for human services on their sites. These bots connect with potential patients visiting the site, helping them discover specialists, booking their appointments, and getting them access to the correct treatment. In any case, the utilization of artificial intelligence in an industry where individuals’ lives could be in question, still starts misgivings in individuals. It brings up issues about whether the task mentioned above ought to be assigned to human staff. This healthcare chatbot system will help hospitals to provide healthcare support online 24 x 7, it answers deep as well as general questions. It also helps to generate leads and automatically delivers the information of leads to sales. By asking the questions in series it helps patients by guiding what exactly he/she is looking for.

🤖 HealthCare ChatBot Major -1 (4th year - 7th semester) Health Care Chat-Bot is a Healthcare Domain Chatbot to simulate the predictions of a General Physician. ChatBot can be described as software that can chat with people using artificial intelligence. These software are used to perform tasks such as quickly responding to users, informing them, helping to purchase products and providing better service to customers. We have made a healthcare based chatbot. The three main areas where chatbots can be used are diagnostics, patient engagement outside medical facilities, and mental health. In our major we are working on diagnostic. 📃 Brief A chatbot is an artificially intelligent creature which can converse with humans. This could be text-based, or a spoken conversation. In our project we will be using Python as it is currently the most popular language for creating an AI chatbot. In the middle of AI chatbot, architecture is the Natural Language Processing (NLP) layer. This project aims to build an user-friendly healthcare chatbot which facilitates the job of a healthcare provider and helps improve their performance by interacting with users in a human-like way. Through chatbots one can communicate with text or voice interface and get reply through artificial intelligence Typically, a chat bot will communicate with a real person. Chat bots are used in applications such as E-commerce customer service, Call centres, Internet gaming,etc. Chatbots are programs built to automatically engage with received messages. Chatbots can be programmed to respond the same way each time, to respond differently to messages containing certain keywords and even to use machine learning to adapt their responses to fit the situation. A developing number of hospitals, nursing homes, and even private centres, presently utilize online Chatbots for human services on their sites. These bots connect with potential patients visiting the site, helping them discover specialists, booking their appointments, and getting them access to the correct treatment. In any case, the utilization of artificial intelligence in an industry where individuals’ lives could be in question, still starts misgivings in individuals. It brings up issues about whether the task mentioned above ought to be assigned to human staff. This healthcare chatbot system will help hospitals to provide healthcare support online 24 x 7, it answers deep as well as general questions. It also helps to generate leads and automatically delivers the information of leads to sales. By asking the questions in series it helps patients by guiding what exactly he/she is looking for. 📜 Problem Statement During the pandemic, it is more important than ever to get your regular check-ups and to continue to take prescription medications. The healthier you are, the more likely you are to recover quickly from an illness. In this time patients or health care workers within their practice, providers are deferring elective and preventive visits, such as annual physicals. For some, it is not possible to consult online. In this case, to avoid false information, our project can be of help. 📇 Features Register Screen. Sign-in Screen. Generates database for user login system. Offers you a GUI Based Chatbot for patients for diagnosing. [A pragmatic Approach for Diagnosis] Reccomends an appropriate doctor to you for the following symptom. 📜 Modules Used Our program uses a number of python modules to work properly: tkinter os webbrowser numpy pandas matplotlib 📃 Algorithm We have used Decision tree for our health care based chat bot. Decision Tree is a Supervised learning technique that can be used for both classification and Regression problems, but mostly it is preferred for solving Classification problems. It is a tree-structured classifier, where internal nodes represent the features of a dataset, branches represent the decision rules and each leaf node represents the outcome.It usually mimic human thinking ability while making a decision, so it is easy to understand. :suspect: Project Members Anushka Bansal - 500067844 - R164218014 Shreya Sharma - 500068573 - R164218070 Silvi - 500069092 - R164218072 Ishika Agrawal - 500071154 - R164218097

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The Chatbot (HealthBot) will try to solve or provide an answer to health-related issues or queries that the user is asking for. We are implementing NLP and ML to improve the efficiency of the chatbot. Tkinter is used as a frontend, and we are creating a desktop application with the help of Tkinter.

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Chat bots in health care services have the potential to provide patients access to immediate medical information. Health care chat bots could help patients better manage own health related issues. An AI based chat bot can provide an adequate and instant solution for human health related queries, so this proposed methodology provides a reliable solution that resolves users’ health care issues through a user-friendly environment. Chat bots could be useful for preliminary information; however, it’s vital that patients don’t try to use them to replace human doctors. They can answer fundamental questions, but patients should always verify the information with a medical professional before taking the prescribed prescription. Hence, the chat bot reaches each and every individual for not only answering his/her questions but also provides reliable suggestions. In the study AWS has been implemented for a trouble-free output, which provides sequences of services to provide effective and efficient usage of bot. The Simulations have been enhanced in the study and automated the bot to do the simulations by itself.

An assistant that will help you better visualize the presentation of mined data (information). It deals with all the health care issues which will really benifit stakeholders in the health care space.

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AAE-Chat-bot is a healthcare bot built for Automation Anywhere Enterprise v11+. This is a Self-assessment chat bot for health care.

Medical App Based on Deep Learning with Medical Watch Based on IOT [ Dr Care ] •The main objective of this project is to Health Care. - Doctor Care is an application to help patients in their healthy condition as it benefits them in more than one way, such as communicating with doctors in an easy way and other advantages. - The specific objective of this project is :- • Doctor Care able to examine images such as (Brain Tumor – Chest x-ray - Skin Cancer, Heartbeat, Retinal OCT). • Medical Watch is the part of hardware can measure (oxygen ratio - heartbeat - temperature), the application read these measurement and sends an alarm when there's a sudden malfunction in the health condition of the elderly based on IOT. • Doctor Care will provide us with Chat bot to detect if a person has a certain disease by talking with the chat bot, or also know information about a specific disease or treatment for a disease • Doctor Care will provide us with making posts about diseases where the patient talks about what hurts him and someone gives advice to him, interaction with posts. • Doctor Care will give us information about where the hospital to us in the map section and the application displays the expected time to reach the hospital if a particular mode of transport is used or on foot. • The patient can contact to the doctor online. • Doctor Care allows you to browse medical news when online or offline. • Doctor Care allows you to log in and out as a (patient or Doctor) • Doctor Care also provides us with setting alarms to follow up on taking medications and this helps in treating chronic conditions such as diabetes, heart disease, etc. - Used Tools :- • Android. • Arduino. • Deep Learning. • Firebase. • Fast API. • Adobe XD. • Kaggle. • Azure. • Heroku. .

A.I project on HealthCare ChatBot

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Healthcare Chatbot Using AI & ML. #Chikitsa.AI

Chat Bot using RASA Framework for health care industry. This Bot can assist the users to book appointment, confirm the appointment status and users can enquire about usage and side effects of any medicine. Bot will web scrape that information and will provide it to the user. Appointment details would be stored in SQL server using pyodbc.

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A chatbot that provides mental health support using NLP and guides users with stress-relief techniques

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This is a web app with the feature like chat bot, This web application is helpful for the persons who are economically poor , It helps those persons to find solutions of their health care.

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A Python-powered AI chatbot designed to provide instant healthcare assistance. Leveraging deep learning (CNN) and natural language processing (NLP), it predicts diseases based on symptoms, offers healthcare guidance, and locates nearby medical facilities using Google Places API.

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Healthcare is essential in daily life. Unfortunately, consultation with a doctor can be difficult to obtain, especially if we need advice on non-life threatening problems. The proposed idea is to create a system with Dialog Flow that can meet the patients requirements. Healthcare chatbot is built with medical applications having the potential to reduce healthcare cost and improves accessibility to medical knowledge by a simple chat through method. Chatbots are useful for patients and for those who want to learn more about health. The real benefit of the chatbot is to provide advice and information for an healthy life. A text-to-text diagnosis engages patients in conversation about their medical issues and provides a personalized diagnosis based on their symptoms and also sets appointment for the user. Hence, people will have an idea about their health and have the right protection and prevention.

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