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respiratory-monitor

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K-GOKULAPPADURAI / RespireNet-Respiratory-Disease-Prediction-Web-Application-Using-Deep-Learning

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RespireNet is an innovative web-based application that harnesses the capabilities of deep learning and Mel-frequency cepstral coefficients (MFCC) as a feature extraction technique for accurate respiratory disease prediction. The primary objective of this user-friendly web application is to facilitate early detection.

deep-learning tensorflow numpy python3 flask-application librosa audio-processing keras-tensorflow gunicorn-web-server mfcc-features respiratory-monitor respiratory-sounds render-deployment
  • Updated Aug 2, 2023
  • Python

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