Team 14, LuminaTech, recently completed our SLDR presentation for the UF IPPD program, marking a major milestone in the development of L.A.A.R.K — an AI-Enabled Lighting Asset Management Platform designed to modernize facility operations.

Our team showcased how L.A.A.R.K integrates interactive floor-plan visualization, predictive maintenance powered by machine learning, and unified asset tracking to help organizations move from reactive repairs to proactive, data-driven decision-making. This combination of smart analytics and intuitive UI design aims to reduce maintenance costs, improve reliability, and simplify large-scale lighting management.

The feedback we received from faculty, coaches, and staff emphasized both the strength of our technical foundation and key areas to refine. Reviewers highlighted our clean UI prototype, clear problem framing, and strong understanding of predictive modeling. At the same time, they encouraged us to clarify our end-to-end data pipeline, strengthen our competitive differentiation, and improve speaker transitions for future presentations. We’ve already developed a concrete action plan—from adding a more detailed data flow diagram to rehearsing as a team and preparing fallback datasets to mitigate sponsor-data delays.

With this input, LuminaTech is entering Spring 2026 with renewed direction and momentum. Over the next semester, we will integrate real lighting-system API data, finalize our predictive model with automatic recalibration, enhance our web interface, and perform full system-level testing. We’re proud of the progress our team has made so far, and we’re excited to continue building a platform that brings meaningful, scalable value to facilities through innovation, intelligence, and design.