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authorAlphara <42233094+xAlpharax@users.noreply.github.com>2023-11-04 18:31:33 +0000
committerAlphara <42233094+xAlpharax@users.noreply.github.com>2023-11-04 18:31:33 +0000
commit097c457e47a7a61ce50267dd7204089702ed68c5 (patch)
tree898f73323bb0af13e1c3603e44a4150a05e5ffb9 /TODO.md
parent9f33e5a68b0013a1f1a7aa010e246616df74bf60 (diff)
figured dsm501a out
figured dsm501a out but needs a better integration since it is inconsistent with all the reporting
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-integrate dsm sensor
+integrate dsm sensor (doing)
-make an api interface (esp32 can use curls and stuff) \ No newline at end of file
+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 \ No newline at end of file