• Develoed Machine Learning Model to detect Arrhythmia using Medical Scans providing more accurate diagnosis for patients and Achieved an Accuracy of about 88% using different Machine Learning Algorithms. • Managed the complete deployment of the model to a Progressive Web App (PWA) using JavaScript, Python, and their corresponding frameworks.