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.
Used:
- 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.