The Philippines, surveyed as part of the 23 chosen countries worldwide, is producing 80% of global mortality burden due to chronic diseases and 50% full disorder burden because of noncommunicable diseases (NCDs) throughout the world. To prevent the rapid growth of diseases, and in some cases to prevent worsening of health conditions, screening is strongly recommended that can identify the symptoms while at their early stages. There are some laboratory tests that a patient can undergo. If it determined that a disease has emerged, further examinations can also be conducted to confirm the diagnosis. However, for people in rural areas, it is just an additional problem because of the cost and time consumption. This paper presents a smart health screening system that aims to ease and enhance the quality of life in rural communities. The developed program was composed of mobile applications, different medical devices, and sensors that screen-specific health parameters and predict the individual probability of having a cardiovascular disease such as diabetes, hypertension, and heart attack by implementing Random Forest classifier. The parameters include Blood Pressure (BP), Heart Rate (HR), Oxygen Saturation (SPO2), Body Mass Index (BMI), Blood Glucose (BG), and Cholesterol Level (Chol). To measure the effectiveness and reliability of the system, the proponents conducted an accuracy test by comparing the data collected by the system to the standard test done in a clinic. The result of the study using Random Forest Classifier which automates a health screening and prediction of cardiovascular diseases specifically diabetes, heart attack, hypertension achieved 98% accuracy in determining the probability of having heart diseases compared to the data gathered from Rosario Reyes Health Center and Ospital ng Sampaloc in Manila.