A 64kB dataset of features and label is established in this project.
Machine Learning is applied to predict the occupancy, and reach 7.4 mean square error for linear regression. Random forest classifier achieves 90% of accuracy in binary classification problem.
Finally, the web user interface is built, so that user can know the real-time occupancy of the laboratory and send notification to others.
Machine Learning is applied to predict the occupancy, and reach 7.4 mean square error for linear regression. Random forest classifier achieves 90% of accuracy in binary classification problem.
Finally, the web user interface is built, so that user can know the real-time occupancy of the laboratory and send notification to others.
- SOMEONE ONCE SAID
Future Work
Light sensor, Humidity sensor, and one extra Co2 sensor will be added soon.......