respiratory-monitor

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K-GOKULAPPADURAI / RespireNet-Respiratory-Disease-Prediction-Web-Application-Using-Deep-Learning
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.
audio-processing deep-learning flask-application gunicorn-web-server keras-tensorflow librosa mfcc-features numpy python3 render-deployment respiratory-monitor respiratory-sounds tensorflow
Language:Python 5

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