Published Paper Details:

The Healthcare Talking Chatbot is an AI powered system designed to help users answer healthcare-related questions using NLP techniques and deep learning models. It uses a combination of the most popular Python libraries for numerical operations: NumPy data manipulation, such as Pandas NLTK for text processing, and TensorFlow/Keras for building deep learning models for intent classification. By processing user input in the form of symptoms or health-related queries, the chatbot identifies the relevant intent using a trained neural network model and provides appropriate responses or suggestions. The system enables users to engage in a conversation, receive personalized health information, and make informed decisions regarding their health. Furthermore, it promotes timely healthcare interventions by encouraging users to seek professional medical advice when needed. With its ability to understand and respond to various health related concerns, this chatbot aims to improve access to healthcare information, enhance user experience, and facilitate patient engagement. This solution serves as an innovative tool for delivering health assistance in an interactive and accessible manner, serving as a basic medical advisor for minor health issues.