This genuine-time model analyzes the signal from one-direct ECG sensor to classify beats and detect irregular heartbeats ('AFIB arrhythmia'). The model is created to be able to detect other sorts of anomalies for example atrial flutter, and can be continuously prolonged and improved.Our models are properly trained using publicly accessible datasets