Catching Dyslexia Early: A Multimodal AI Approach for Infant Risk Prediction: This project aims to develop a machine learning model that can predict dyslexia in infants by analyzing a combination of neuroimaging and behavioral data. Identifying dyslexia early; before children begin reading can significantly improve intervention outcomes. By integrating multiple data types, the model will provide a comprehensive view of neurodevelopmental risk factors and offer a novel approach to early diagnosis of learning disabilities.