Medicare - AI Health Diagnosis

Abstract: The Medicare AI System is an intelligent healthcare assistant that utilizes React, Flask, MongoDB, Random Forest Classifier, and Raspberry Pi to provide accurate and real-time disease prediction and medical recommendations. The system is designed to assist users by allowing them to input symptoms, which are then analysed using machine learning models to predict potential diseases and suggest medications, diet plans, and preventive measures. The frontend is built using React, ensuring a responsive and user-friendly interface where users can enter symptoms and receive health insights. The Flask backend handles data processing, machine learning model execution, and communication between the user and the system. The medical dataset, stored in MongoDB, consists of symptom-disease mappings, medications, and lifestyle recommendations, allowing quick retrieval of relevant healthcare information. A key component of the system is the Random Forest Classifier, which is trained on a medical dataset to predict diseases based on symptoms. The classifier improves accuracy by leveraging multiple decision trees to analyse patterns in the dataset and make reliable predictions. The natural language processing (NLP) pipeline preprocesses user-inputted symptoms, converting them into structured data before feeding them into the model. Additionally, the system provides multilingual support, where the diagnosed results can be translated into different languages using AI-powered translation models.