AI-Play Ground: Empowering Kids to Build and Understanding Ml Apps

As artificial intelligence (AI) becomes an increasingly integral part of daily life, equipping younger generations with the tools and knowledge to understand and create with AI is essential. This paper presents the design, development, and evaluation of a children-oriented AI design platform that enables users to create, test, and deploy machine learning (ML)-driven applications with minimal coding knowledge. The platform focuses on intuitive visual programming interfaces, age-appropriate ML model training workflows, and real-time deployment capabilities. Through iterative user testing with children aged 8–14, the system was refined to prioritize usability, engagement, and educational value. The platform integrates pre-built AI models for tasks such as image recognition, text classification, and voice commands, while also allowing customization and experimentation. Our results demonstrate the platform’s effectiveness in fostering computational thinking, design creativity, and basic AI literacy. We conclude with insights into designing child-friendly AI tools and propose future directions for expanding accessibility and curriculum integration.