The rapid development of laser-induced breakdown spectroscopy (LIBS) and machine learning has revolutionized materials analysis, empowering researchers and engineers with tools for high-precision, real-time analysis across a range of applications. LIBS, as an analytical technique based on laser-induced plasma emission, has emerged as a powerful, versatile method for elemental analysis. When integrated with machine learning, LIBS achieves even greater potential by enabling sophisticated data processing, pattern recognition, and predictive capabilities, making it a critical technology in fields such as materials science, environmental monitoring, biomedical analysis, and industrial quality control.