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integrate dsm sensor (doing)
make an api interface (esp32 can use curl's and stuff)
store the data on a mock server that can be accessed with requests (rest, crud)
somehow integrate that continuously with time series data forcasting and other AI/ML predictions
incorporate normal graphs and predicted future behaviour of those datapoints to show the urgency of measures that should be taken
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