posted an update

Idea for ResAlert was conceived 2 April 2020. Train an AI Neural Network to classify respiratory recordings into normal, crackle, wheeze etc.

I will head a team from Perth Internet of Things to progress an open source project to detect anomalies in recordings of human breathing.

So far, I have a 2GB training data set. and sample HTML5 code to record using the device microphone, 330 GPU hours on 2 GPU's, 500 GB Volume Storage, 10 Instance Snapshots.

Thanks so far to Julian Sprung from Genesis Cloud and Deborah Duong from SingularityNet for stepping in to support me and the Perth IoT Community.

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