Heartbeat sound classification system using deep learning techniques

A user-friendly website built with Streamlit classifies heartbeat audio into five categories using CNN/RNN algorithms in Python. Deployed on a Raspberry Pi 4, it offers a cost-effective solution for heartbeat analysis. This project harnesses machine learning to provide insightful health monitoring and support accurate cardiovascular diagnostics.

Snapshots

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Home Page

Select Audio File

Waveform of Audio File

Spectrogram of Audio File

Predicted Category

Description

Features

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• The project uses CNN/RNN algorithms to classify heartbeat audio into five categories, providing accurate and insightful analysis for cardiovascular health monitoring.
• A user-friendly website built with Streamlit offers an intuitive platform for uploading and analyzing heartbeat audio, deployed on a Raspberry Pi 4 for a cost-effective and portable solution.

Tech Stack

-Python

Requirements

• Pycharm
• Streamlit

🤝 Contributing

Contributions, issues, and feature requests are welcome!