AI-Based Heart Disease Risk Prediction System

Description

GTC – Heart Disease Risk Prediction is a machine learning project designed to estimate an individual’s likelihood of developing heart disease based on medical and lifestyle data. The goal of this system is to support preventive healthcare by identifying patients who may be at high risk and enabling early medical intervention.

The model analyzes a variety of patient demographic and clinical features, such as age, gender, blood pressure, cholesterol levels, and lifestyle factors like smoking habits. Using these inputs, the machine learning algorithm processes the data and predicts whether the patient falls into a high-risk or low-risk category.

The system is designed to be practical and easy to use. A lightweight frontend interface allows healthcare professionals, researchers, and analysts to input patient information and instantly receive risk predictions. This helps support faster decision-making, improved screening processes, and proactive healthcare planning.

By combining data-driven insights with machine learning, the project demonstrates how artificial intelligence can assist in improving early diagnosis, reducing healthcare risks, and promoting better patient outcomes.