Medicare (Medical Diagnosis Prediction System)

Abstract Effective healthcare depends on accurate medical diagnoses because doctors need to identify diseases before they can suggest suitable treatments. This research paper explains a machine learning-based system which allows patients to submit their medical reports and get automated predictions about their medical conditions. Through machine learning algorithms this system examines patient data to suggest a suitable medical specialist according to the diagnosis. Streamlit enables the development of interfaces that provide users with an exceptional user-friendly experience. Researchers assessed various machine learning models to understand their performance metrics and accuracy levels while suggesting possible enhancements for future system development.