Due to changing trends, there is an increasing risk of people having Cardiac Disorders. This is the impetus behind, for developing a system which can diagnose the cardiac disorder and also risk level of the patient, so that effective medication can be taken in the initial stages. In this paper, Atrial rate, Ventricular rate, QRS Width and PR Interval are extracted from ECG signal, so that arrhythmia disorders- Sinus tachycardia (ST), supra-ventricular tachycardia (SVT), ventricular tachycardia (VT), junctional tachycardia (JT), ventricular and Atrial fibrillation (VF & AF) have been diagnosed with their respective risk levels. So that the system acts as an risk analyzer, which tells how far the subject is prone to arrhythmia. LabVIEW signal express is used to read ECG and for analysis this information is passed to the Fuzzy Module. In the Fuzzy module Various “If-then rules” have been framed to identify the risk level of the patient. The Extracted information is then published to the client from the server by using a Online publishing tool. After passing the report developed by the system to the doctor,he or she can pass the medical advice to the server, i.e. generally the system where the patient ECG is extracted and analyzed.