Passively track water usage and its effect on health signals such as lethargy, headaches and sleep.
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.
- Collect PDM samples and make a training dataset
- We can do a manual process for now to get the AI work going
- Work on getting mbed-tls and Ingestion SDK work
- Work on getting the inference SDK integrated but with tensorflow micro as a backend
- Refactor and build orchestration toolkits to monitor the health of this application