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Development-of-Baby-Monitor-Device-for-Baby-Cry-Detection

End to End Baby cry Detection Device (from Model Training to model Deployment of Raspberry Pi)

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#The project is done in three steps 1.first step training the data using CNN and Saving trained model weights in json file and .h5 file. 2.the second step is to load pre-trained weights on raspberry pi and run cnn.py to capture the sound in real time. 3.when the baby cry is detected , then sms alert is send to registered mobile number.

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  • Jupyter Notebook 99.3%
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