Overview

Passively track water usage and its effect on health signals such as lethargy, headaches and sleep.

Collect Data

Using the PBM library we need to collect samples and process them into a format that can be sent using Edge Impulse C Ingestion SDK.

One challenge is that instead of the regular arduino ide we will have to mbed-cli so that we can implement the mbed-tls requirement.

TODO

1. Collect PDM samples and make a training dataset
2. We can do a manual process for now to get the AI work going
3. Work on getting mbed-tls and Ingestion SDK work
4. Work on getting the inference SDK integrated but with tensorflow micro as a backend
5. Refactor and build orchestration toolkits to monitor the health of this application