DEVELOPMENT OF ARTIFICIAL INTELLIGENCE-BASED SERVICE MONITORING SYSTEMS FOR CONSTRUCTION QUALITY CONTROL
Kalit so'zlar
https://doi.org/10.65451/iqtisodiyotuzb.v6i8.14657Annotasiya
This article examines the development of artificial intelligence-based service monitoring systems for construction quality control. The study analyzes the potential of AI technologies to monitor quality indicators in real time, automatically detect defects, and improve the effectiveness of construction supervision. The findings indicate that the integration of AI-driven monitoring systems can reduce human errors, optimize monitoring costs, and support timely decision-making, thereby
enhancing the overall quality and reliability of construction projects.
Manbalar
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