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.

We used GCP computer engine vm to use Keras, we also used GCP app engine for hosting our Flask server, we used GCP cloud storage for storing population time series data of how many people are in rooms and for how long. Additionally, we built a dashboard in Reactjs to display information to a company of how their rooms are being used.

A large part of the challenges we faced were in terms of integrating all the services together.

Creating a high accuracy model, working well as a team and creating a cool app.

Muhammad Khattak, Hao Cong Su, Tim, Simran Singh