Health Care Chatbot Using Python and Machine Learning

The Health Chatbot is an AI-based system developed using Python to assist users with health-related queries through natural, conversational interaction. This project aims to build a 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. It leverages Natural Language Processing (NLP) techniques such as tokenization, stemming, and bag-of-words, powered by NLTK, to understand user input. The system is capable of providing instant support for medical advice, symptoms analysis, and health tips based on user inputs. By utilizing a combination of pre-trained models and a vast dataset of health information, the chatbot ensures accurate and reliable answers. This project demonstrates the potential of AI in improving healthcare accessibility, empowering users to make informed decisions about their health and also provides doctor consultation link based on the diagnosis. It can be integrated into web platforms or mobile applications, making it a valuable tool for healthcare providers, patients, and general users alike. Index Terms: Health Chatbot, Natural Language Processing, Tensor Flow, Flask, Patient Assistance, AI in Healthcare.