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author | Alphara <42233094+xAlpharax@users.noreply.github.com> | 2023-11-04 21:34:22 +0000 |
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committer | Alphara <42233094+xAlpharax@users.noreply.github.com> | 2023-11-04 21:34:22 +0000 |
commit | a26b7c2cff9ca416917872a976fbcce6202fb938 (patch) | |
tree | a7e1eade1b0238fa75520a3a128cd88b9f507816 /TODO.md | |
parent | 097c457e47a7a61ce50267dd7204089702ed68c5 (diff) |
Unified code and workflow + logic.
All that s needed now is Wifi integration with the outputs.
DSM is weird... will look again later.
Diffstat (limited to 'TODO.md')
-rw-r--r-- | TODO.md | 10 |
1 files changed, 6 insertions, 4 deletions
@@ -1,9 +1,11 @@ -integrate dsm sensor (doing) +integrate dht sensors (done, first thing done) +integrate mq sensor (done) +integrate dsm sensor (done) :DDDD 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) +store the data on a mock server that can be accessed with requests (rest, crud) --> alphara.art ORRRR firebase:) -somehow integrate that continuously with time series data forcasting and other AI/ML predictions +somehow integrate that continuously with time series data forcasting and other AI/ML predictions -- need python for making AND condensing an ML model -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 +incorporate pretty graphs and predict future behaviour/forcasting of those data-points to show the urgency for measure-taking
\ No newline at end of file |