| Abstract Scope |
This work presents an interdisciplinary educational framework that integrates artificial intelligence (AI), machine learning (ML), and engineering analysis to transform two-dimensional (2D) images into three-dimensional (3D) digital models of metal sculptures. AI-assisted image reconstruction and computational design tools generate manufacturable 3D models from photographs or conceptual artwork. Finite element analysis (FEA) evaluates structural integrity, stress distribution, deformation, and stability, enabling optimization for safety and fabrication while preserving artistic intent. Implemented at the intersection of art and engineering, the workflow provides students with hands-on experience in AI, digital design, structural mechanics, and computational simulation. The validated digital model is ultimately fabricated as a large-scale metal sculpture, demonstrating how art, engineering, and emerging digital technologies translate artistic concepts into safe, structurally sound public works while fostering interdisciplinary experiential learning. |