During​‍​‌‍​‍‌​‍​‌‍​‍‌ Prototype Inspection Day (PID), the LuminaTech team presented the prototype version of our predictive lighting system. We highlighted the on-demand UI dashboard, featuring role-based access, a floorplan viewer that is always up-to-date, and visual indicators for fixture lifetime and energy performance. The dashboard is a convenient tool for facility managers, as it allows them to keep a close eye on the lighting systems and, at the same time, recognize the occurrence of system failure in ​‍​‌‍​‍‌​‍​‌‍​‍‌advance.

We also presented the insights of our machine learning models, including Random Forest and XGBoost; these and EDA helped us identify the most important features in the Energy Star Dataset. This demonstrates our commitment to a data-driven approach while predicting the lifetime of a light fixture.

Feedback​‍​‌‍​‍‌​‍​‌‍​‍‌ from the liaison and coaches in terms of upgrading the prototype, user engagement, and system integration was of great value to us. Consequently, the team will make changes to the dashboard user interface, upgrade the alert and warranty functionalities, and begin working on the backend API layer to allow real-time data exchange between the ML models and the ​‍​‌‍​‍‌​‍​‌‍​‍‌dashboard.

MOVING FORWARD!!!

Following the feedback from PID, our team is focused on enhancing both the user experience and the technical foundation of our system.

• Refining the UI with clearer visual indicators and warranty data.
• Integrating real-time APIs for model communication.
• Expanding our ML model to include energy optimization.

With these updates, LuminaTech is moving closer to a functional MVP that combines intelligent prediction with practical facility management.