The patent abstract indicates that the invention falls within the technical field of solid-state battery production and provides an artificial intelligence-based solid-state battery production system and method. The method includes: collecting, in real time, physical contact state data and interfacial chemical state data of solid-state batteries during production; predicting, based on the real-time data, whether the electrolyte layer will meet preset conditions for incomplete bonding; if so, processing the physical contact state data, interfacial chemical state data, and historical process parameters using a Deep Deterministic Policy Gradient algorithm to generate a high-pressure compensation command and a plasma treatment extension command; and synchronously adjusting the hot-pressing process and interfacial treatment process based on the high-pressure compensation command and the plasma treatment extension command.