This attendance forecasting applet uses a RNN LSTM model to predict how many people will be in the third floor weightroom of the Western Recreation Centre. It makes a forecast for the remainer of a given day based on the number of people in attendance for the previous 5 hours of the day. You can find current attendance info by going to @WesternRecUserStats on Instagram (linked above).

After you've set your forecast options, click generate forecast and your input will be sent to a Google Cloud Compute server that will run your input through the LSTM model and return the output to you to be graphed. It will also return the average for the day of the week and month of the prediction graphed as a grey dotted line.

If you are interested in reading more about the project, see my portfolio site here or read the full project report here.