CHILD’S PLAY WITH MACHINE LEARNING: A PLATFORM FOR YOUNG INNOVATORS TO CREATE AI SOLUTIONS
DOI:
https://doi.org/10.64751/ijdim.2026.v5.n2(2).pp622-627Keywords:
Machine Learning, Artificial Intelligence, Young Innovators, Educational Platform, Visual Programming, AI Applications, Interactive Learning, Cloud Deployment, Beginner-Friendly AI, STEM EducationAbstract
The rapid advancement of artificial intelligence (AI) and machine learning (ML) technologies has created a growing need for early exposure and accessibility among young learners. Child’s Play with Machine Learning: A Platform for Young Innovators to Create AI Solutions is designed to bridge the gap between complex AI concepts and beginner-level understanding by providing an interactive, user-friendly environment tailored for students and young creators. The platform simplifies machine learning workflows through visual programming, pre-built models, and guided tutorials, enabling users to design, train, and deploy AI applications without requiring extensive coding knowledge. The system integrates drag-and-drop interfaces, real-time feedback mechanisms, and cloud-based deployment features to enhance learning outcomes and encourage creativity. It supports a variety of AI domains, including image recognition, speech processing, and predictive analytics, allowing users to experiment with real-world problem-solving scenarios. Additionally, the platform promotes collaborative learning by enabling users to share projects, participate in challenges, and receive mentorship from experienced developers and educators. By combining education with innovation, the platform aims to nurture critical thinking, problem-solving skills, and technological confidence among young innovators. It also aligns with modern educational goals by making AI learning accessible, engaging, and practical. Ultimately, this initiative contributes to building a future-ready generation capable of leveraging AI technologies for societal and technological advancement.
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.






