This report summarizes the work conducted as part of the Summer Student Program in the Laser and Photocathodes (LP) section at CERN. The project focused on exploring approaches to achieve turn-key performance in laser cavity control systems, with particular emphasis on intracavity-doubled Ti:Sapphire lasers and machine learning techniques. Several LabVIEW applications were developed to test and control piezo-motorized mirror mounts in combination with Basler cameras, which were subsequently integrated into a unified control program. In addition, a preliminary machine learning model was implemented and trained for device control.