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
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Updated
Aug 2, 2023 - Python