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