LSU students build AI solutions to help Baton Rouge companies run smarter operations

AI For Business



LSU students presented practical artificial intelligence solutions for four organizations in Baton Rouge at the Spring 2026 LSU AI Showcase. This showcase is the culminating event of an elective capstone course that partners technically advanced students with industry sponsors to solve real-world business challenges.

Throughout the semester, student teams worked closely with representatives from MMR Group, Baton Rouge Community College, Neighborhood Federal Credit Union, and Performance Contractors, meeting weekly to develop AI tools tailored to each organization’s needs.

Led by Assistant Professor Keith Mills, this course focuses on creating functional applications that companies can implement, rather than simply demonstrating innovation. The program will also serve as the foundation for LSU’s expanding AI initiatives, including the creation of Louisiana’s first AI bachelor’s degree and the development of additional graduate programs and research opportunities.

Each team used large-scale language models and other AI technologies to tackle practical problems. For BRCC, students developed GuideOverride. This is a web application that streamlines the review of course override requests by analyzing student records, course requirements, and past decisions, while leaving final approval to administrators.

Bid Busters, a project of MMR Group, automates the review of proposal documents, reducing analysis time from approximately 30 minutes to 10 minutes, while using a second AI model to verify answers against source documents to minimize hallucinations.

The Neighborhood Federal Credit Union team created Beyond Ctrl-F, a platform that reviews long-term cybersecurity SOC reports, identifies control exceptions, and surveys vendors for past security incidents to improve vendor risk assessments.

Students built ForeSight, an AI-powered safety platform for performance contractors that allows managers to use natural language to search incident reports, generate summaries and visualizations, record field observations, and identify new safety risks before they occur.

This showcase provided students with valuable hands-on experience working with industry partners while demonstrating how AI can be applied to solve real-world business problems. Many of the sponsoring organizations plan to continue developing and implementing student-built solutions after the course ends.

Please read the full text.





Source link