AI Healthcare Disease Prediction Intelligence System based on Symptoms Using Machine Learning

Abstract

The Medical Recommendation System is an AI-driven web application designed to help users identify possible diseases based on their symptoms. It leverages machine learning algorithms to analyze both typed delivering predictions on likely illnesses. Additionally, the system provides comprehensive healthcare guidance, including disease overviews, precautionary steps, medication suggestions, exercise routines, and dietary plans. The development involves data collection, preprocessing, and training deep learning models, with performance evaluated through accuracy and precision metrics. For many medical organizations, disease prediction is very important for making the best possible healthcare decisions. Machine Learning is a field where we can develop a model to learn machines to make decisions on their own from real-time data and from past experience. The research involves collecting relevant medical data, training deep learning models, and evaluating their predictive capabilities through metrics such as accuracy and precision.