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
This project aims to develop a machine learning-based system for predicting diseases based on patient symptoms and medical history.
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.
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.
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