A Healthcare System using Machine Learning Techniques for Disease Prediction with Chatbot Assistance

This project aims to develop a healthcare system that can predict multiple diseases, including liver disease, diabetes and heart disease using machine learning techniques. These are the most common types of Diseases that plaque the Indians today. This system will use XGBoost (eXtreme Gradient Boosting) for these diseases while maintaining accuracy, speed, resource utilization, stability and reducing complexity. The system will also include a healthcare chatbot that can provide personalized health recommendations to users. The system will be developed using Python and its many Machine Learning Libraries & Streamlit Framework. Machine learning models will be trained on publicly available datasets to predict diseases accurately. The developed models will be evaluated using performance metric like accuracy of training and testing data. The healthcare chatbot will be developed with NLP and/or OpenAI API Integration Techniques to provide personalized health recommendations to users. The system will be deployed on a cloud-based platform to ensure scalability and availability. The Healthcare System has the potential to improve the accuracy of disease diagnosis, care and early intervention, thereby reducing healthcare costs and improving patient outcomes. The healthcare chatbot can provide accessible and personalized health recommendations, leading to a healthier and happier life.