Slide 1: Using ML for Arrhythmia Detection from Phonocardiogram Data. Slide 2: Understanding Arrhythmias & Phonocardiograms. Slide 3: The Power of Machine Learning in Healthcare. Slide 4: PCG Data Acquisition & Preprocessing Pipeline. Slide 5: Machine Learning Models for Arrhythmia Detection. Slide 6: Model Training & Performance Evaluation. Slide 7: Challenges and Limitations. Slide 8: Real-World Applications & Impact. Slide 9: Future Directions & Research Opportunities. Slide 10: Conclusion