Utilization of Artificial Intelligence in Electronic Product Design

Prototyping and the medical field have been transformed by the extensive use of 3D printing. Nevertheless, mistakes can occur during the process, resulting in unsuccessful prints, material waste, and lost time. By providing real-time issue identification and repair, artificial intelligence (AI) provides a solution and revolutionizes 3D printing. In order to identify printing flaws with 97.77% accuracy, this study created a Machine Learning (ML) model using Support Vector Machines (SVM). By enabling automatic modifications, the model's integration into a smart slicing process greatly decreased mistakes, increasing efficiency and dependability. These results demonstrate how AI may improve the precision and efficiency of 3D printing.