LeBow Students Build Game-Changing Models with Generative AI
How can generative AI be used to solve business problems?
Future practitioners of various business fields built and pitched models that are creating real solutions as part of the annual Generative AI LeBow Student Expo.
16 undergraduate and graduate student teams were tasked with creating projects that demonstrate ways businesses can leverage generative AI to automate tasks, with a focus on increasing productivity, efficiency and value to the customer.
Stacy Kline, CPA, LeBow’s assistant dean for teaching and learning, was part of one of the first student classes at Drexel required to purchase a computer for school use.
She’s recalls the impact of that forward-thinking decision, keeping it in mind as an organizer of this expo.
“That early fluency with technology transformed how I experienced both the classroom and my co-ops,” Kline said. “Today, I believe we’re at the start of another major shift with generative AI — one that will redefine how we teach, learn and do business.”
Remy Talbot, BSBA marketing ’26, earned the “Best Undergraduate Award” for his model, “Bertrand: Your Personalized Property Assistant,” which automates email response and information retrieval in real estate.
Ankit Akash and Gurpreet Singh Chandok, MS business analytics ’25, won the “Best Graduate Award” for “GreenPath: Shaping a Sustainable Tomorrow,” which promotes environmental sustainability practices with a rewards-based, AI-powered automation tool.
The Trailblazer Award went to the team behind Smart Stock – Anita Suri ’28, Mariah Cintro, ’28 and Sophia Egoavil ’29 – an app designed to streamline inventory management for convenience store managers.
Visiona1ry – created by Angela Chen ’29, Maggie Gao ’29, María Camila Castro Montoya ’29 and Sophia Chen ’29 – earned an honorable mention for its goal of helping data scientists in supply chain management businesses proactively identify and mitigate risks.
