Categories: Louisiana News

LSUS students develop AI-powered weather app for Air Force

SHREVEPORT, La. (KTAL/KMSS) – Six LSU Shreveport students have created an artificial intelligence tool to help the Air Force Global Strike Command Center (AFGSC) better predict the weather.

The tool helps AFGSC make medium-range weather forecasts (3-10 days) to improve mission planning.

“Students developed a user-friendly app that integrates GraphCast overlayed with global maps, predictions for temperature, precipitation and wind speed, comparative analysis between the AI model and traditional weather models, and traditional weather alerts, among other functions,” a press release stated.

According to U.S. Air Force Tech. Sgt. Brian Tubbs, the app delivered an instantaneous solution for Kirtland Air Force Base in New Mexico, where it is being beta-tested as part of “Project Airstorm.”

LSUS computer science students from left to right are Duaa Khawaldeh, Vincent Hartline, Joshua Francis, Antonio Mata, and Eliana Gafford. Not pictured is Connor Zittrauer.
“Collaborating with LSUS students on ‘Project Airstorm’ through STRIKEWERX and the LSUS Collaboratory has been exceptional,” said Tubbs, 377th Test Support Squadron flight chief of mission weather operations, who serves as the Air Force’s primary point of contact for the project. “The students, including those in the National Security Fellowship Program, brought technical expertise in computer science, mathematics, and AI along with enthusiasm for addressing real-world Air Force challenges.

“Their work – from coding and integrating GraphCast to designing a user-friendly interface – has delivered a practical tool for Kirtland’s immediate needs. The LSUS team’s creativity and adaptability shone in design sprints and collaborative efforts, making them invaluable partners.”

While GraphCast is the app’s foundation, the students switched to other services for different app areas because of budget and time constraints.

“We needed a different AI model to do the map imaging, and we found Media Source map data to generate our map tiles,” said Antonio Mata, a senior from Shreveport. “We needed more time and money to use GraphCast for this, but we were able to integrate Media Source into the app. We definitely had to learn how to communicate with each other, with our points of contact, and solve problems.”

LSUS computer science student Eliana Gafford presents her team’s weather app powered by artificial intelligence at an April 30 presentation in the LSUS Collaboratory.

One tweak to the app included map files that made lightning strike points available to view.

“That’s useful to the Air Force because they can see if it’s safe for a plane to go into this area or tell them to avoid this area,” Mata explained.

LSUS computer science faculty member Keyvan Shahrdar added that experimental learning is integral to the curriculum.

“This kind of project gives students practical experience working in a collaborative software development environment and helps bridge the gap between classroom theory and real-world application,” Shahrdar said. “They’re not only writing code but also managing timelines, understanding budgets, selecting tools, and adapting to evolving requirements – skills that are critical in any professional tech role.

“The real strength of AI lies in its ability to analyze vast datasets and uncover trends that would be difficult or impossible for humans to detect manually.”

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