🤖 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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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.

Healthcare Chatbot Using AI & ML. #Chikitsa.AI

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AI-powered healthcare chatbot for symptom checking, medical advice and telemedicine. Built with NLP, ML, Django, TensorFlow, Dialogflow and Google Cloud. Live demo included.

Baymax - AI chat bot for Personal Health Care

Hello! I'm Mr. Doom, your AI health assistant created by Haripriyan B A, a student at Sri Ramakrishna College of Arts and Science. Simply tell me what's bothering you, and I'll help you right away!

This is for health care ai chat system.

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Simple chatgpt using python

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This project uses AI to create a virtual health assistant that provides personalized health advice, tracks fitness, monitors symptoms and offers preventive care tips. It empowers users to manage their health efficiently, make informed decisions, and improve their overall well-being with user-friendly and intelligent solutions

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This project uses AI to create a virtual health assistant that provides personalized health advice, tracks fitness, monitors symptoms and offers preventive care tips. It empowers users to manage their health efficiently, make informed decisions, and improve their overall well-being with user-friendly and intelligent solutions

AI-powered healthcare chatbot built with Flask, scikit-learn, and HTML/CSS. Users input symptoms and duration to get instant disease predictions, severity levels, descriptions, and precautions using ML-trained models for accurate, user-friendly health guidance.

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AI Health care Chat Bot using Python

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