Children’s language development is a critical factor in creating engaging and age-appropriate interactions in conversational AI systems. As children grow, their communication evolves in sentence complexity, vocabulary use, and conversational style. However, many current AI-driven systems struggle to dynamically adjust to these developmental changes, especially in interactive environments like the COSI Museum, where engaging, personalized conversations can foster learning and curiosity. In this talk, I will discuss how our research aims to bridge this gap by predicting a child’s age based on linguistic features to create more engaging and age-appropriate interactions.