Smart Building Manger

The project uses a machine learning algorithm based on employee schedule data to predict and autonomously change the temperature in rooms according to usage and patterns.


  • GCP compute engine vm to use Keras
  • GCP app engine for hosting the Flask server
  • GCP cloud storage for storing population time series data of how many people are in rooms and for how long.

Created a realtime dashboard using React to display information to a company of how their rooms are being used.

Landing page