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Deep Learningintermediate

AI-Powered Heart Murmur Detection System

Develop an AI-powered heart murmur detection system using audio signal processing and deep learning techniques. The system will enable users to analyze heart sound recordings, extract relevant features, and classify audio using a trained LSTM model, providing a valuable tool for preliminary cardiac assessment.

17 lectures

What You Will Learn

Mastering audio data preprocessing techniques for heart sound recordings.
Implementing MFCC feature extraction for effective audio representation.
Building and training LSTM-based models for audio classification tasks.
Understanding and mitigating class imbalance issues in medical datasets.
Deploying machine learning models using Hugging Face's cloud infrastructure.
Creating interactive web applications using Streamlit for real-time audio analysis.
Implementing modular code design principles for maintainable and scalable projects.

System Architecture

AI-Powered Heart Murmur Detection System Architecture Diagram

High-level architecture overview of the AI-Powered Heart Murmur Detection System .

What You'll Build

  • A heart sound audio preprocessing pipeline.
  • An LSTM-based heart murmur classification model.
  • A cloud-hosted API for heart sound analysis using Hugging Face.
  • An interactive Streamlit web application for real-time heart murmur detection.
AI-Powered Heart Murmur Detection System
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