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The main aim is to detect Hypertension without considering Blood Pressure or any other medical test. The proposed method mainly focuses on generating huge database which contains symptoms of Hypertensive patients. In MCS environment, another key component is providing incentive to volunteers in-order to motivate them to take part in data collection phase. Feedback is given to the user about their current health status in form of incentive which is generated using Machine Learning technique like Random Forest Classifier