The Medical Recommendation System predicts diseases based on user-input symptoms and provides recommendations for medications, diets, precautions, and workouts. Built using machine learning models and Flask, it delivers interactive and reliable healthcare solutions.
This project utilizes machine learning algorithms to predict the likelihood of a patient having a specific disease based on their medical history, symptoms, and test results. Disease Prediction Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
This project aims to develop a machine learning-based system for predicting diseases based on patient symptoms and medical history. Disease Prediction System With Code, Documents, PPT and Report
The Heart Disease Prediction Project utilizes machine learning to predict the likelihood of heart disease based on medical parameters. It offers a user-friendly interface for accurate and timely risk assessment
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