What it does

Trains models to predict a sensor using a subset of other sensor data (including datatime)

How we built it

We use juypter notebook and excel to preprocess our data. Tensorflow and google caleb to train the models.

Challenges we ran into

Could not get tensorflow to work using an AMD gpu.

Accomplishments that we're proud of

Predicting temperature and light using time.

What we learned


What's next for Sensor Evaluation

Applying to model for other buildings

Built With

  • alarm(-john)
  • coffee
  • computers
  • csv
  • datasets
  • datetime
  • google
  • google-drive
  • googlecolab
  • keras
  • keyboard
  • matplot
  • monitor
  • numpy
  • pandas
  • python
  • python1
  • python2
  • python3.10
  • python3.8
  • sleep
  • stackoverflow
  • tables
  • tensorflow
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