In recent times, we've seen a worrying rise in deaths caused by heart and cardiovascular diseases—especially among younger people. Sadly, we’ve lost loved ones because these conditions weren’t diagnosed in time. Heart disease remains the leading cause of death worldwide, claiming around 17.9 million lives in 2019, which equals about 32% of all global deaths, according to the World .

Health Organization In Palestine, the situation is even worse. In 2020, 29.9% of all deaths were caused by heart-related diseases, as reported by the Palestinian Ministry of Health. Our health sector faces major challenges in diagnosing these conditions early due to a lack of modern equipment, costly tests, and limited public awareness about the importance of .

regular checkups That’s why there’s an urgent need for a solution that can catch these diseases before it's too late. Through our project "HeartGuard" , we developed a smart system that can predict the risk of heart and cardiovascular diseases by analyzing medical data like .

blood pressure, cholesterol levels, ECG readings, and more We used Supervised Machine Learning, specifically the Random Forest algorithm, to build the system. After testing, it showed a high accuracy rate of 90%, proving its ability to deliver fast, reliable predictions. This reduces medical errors, cuts down on expensive .

testing, saves time, and—most importantly—helps save lives"HeartGuard... where intelligence meets humanity, for smarter care, better health, and a brighter future."