The inaugural project focused on using live stream AI analysis to recognize social distancing (6 feet apart) and correct mask-wearing.

The project is part of a partnership with the , an organization supporting highly gifted students in STEM fields. It allows young participants to work directly with SEEBURGER experts on cutting-edge machine learning and AI applications. Key Projects & Outcomes

Using Large Language Models (LLMs) and the Model Context Protocol (MCP) to interpret unstructured customer data and automate inventory decisions.