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This paper explores the development of interactive 3D human models that integrate conventional Artificial Intelligence (AI) techniques to improve user experience.With the growing demand for more immersive and responsive digital interactions, particularly in gaming, virtual reality, and augmented reality, it's crucial to employ AI in ways that make these experiences more realistic and engaging.This research examines existing AI methods for modeling, animating, and interacting with 3D human avatars, identifying their strengths and limitations.The study proposes a framework that leverages conventional AI techniques, such as machine learning, computer vision, and natural language processing, to enhance the interactivity of 3D human models.Through a series of experiments and case studies, we demonstrate how AI can be used to simulate human-like behaviors, improve motion realism, and enable intuitive interactions.Furthermore, the paper discusses the implications of these advancements for future applications, highlighting potential areas for innovation and ethical considerations.The findings suggest that integrating conventional AI into 3D human modeling can significantly enhance user engagement and open new avenues for technology use in entertainment, education, and simulation.The paper concludes with recommendations for researchers and developers aiming to create interactive 3D human models with advanced AI capabilities.
Naveen Kumar Thawait (Sat,) studied this question.