Researchers at the University of New Orleans (UNO) are pioneering an innovative approach to bridge the communication gap for children with autism using artificial intelligence. Led by Christopher Moore, a father of three autistic children and a computer science doctoral student, the project aims to translate behavioral patterns — such as eye movements and gestures — into actionable insights for caregivers.

Backed by a $300,000 grant from the Louisiana Department of Health, this groundbreaking initiative focuses on children aged 2 to 5. The team, including UNO professors Shreya Banerjee, Md Tamjidul Hoque, and Tracey Knaus, plans to build a comprehensive database of autism behaviors using photos, videos, and caregiver interpretations.

“Autism is just another language,” says Moore, who envisions an app that helps caregivers decode their child’s behavior with a simple photo or video. This technology could also benefit settings like law enforcement or group homes, where communication challenges often lead to misunderstandings.

While experts emphasize the importance of learning a child’s cues without relying solely on technology, the potential of this AI tool is immense. It offers hope for families seeking better ways to understand and support their children, ensuring they feel seen, heard, and valued — even when words are hard to come by.

This project represents a powerful step toward improving the lives of autistic individuals and their families, transforming years of challenges into opportunities for connection.