College of Liberal Arts, Education & Human Development
LBRN Summer Research continued . . .
... for their summer project "Data Collection and Analysis for Enhancing Autism Care and Support through AI- Powered Personalized Behavior Insights in Children with ASD"
The project aims to close the gap in understanding between caregivers (educators and parents) and their autistic children by augmenting autism care with AI-powered behavior analysis and prediction. The proposed work leverages state-of-the-art artificial intelligence technologies to better understand, monitor and predict behavior patterns and outcomes among children with autism. A wide range of methodologies and technologies will be used, including machine learning (ML) algorithms, natural language processing (NLP) tools such as large language models (LLM), logic-based cognitive models, computer vision and sensor and vision-based monitoring. With this bigger goal in mind for the pilot project, the objective of this summer project is to collect and preliminarily analyze data from children with ASD in the New Orleans and Louisiana areas.

The project has a dual purpose. Using a properly established system to collect and analyze Louisiana data for children on the spectrum will allow us to develop, in the next stage, a novel framework for enhancing autism care and support through AI-powered personalized behavior insights.