ENGINEERING SYSTEM: METHOD FOR PROJECT OPTIMIZATION IN CHOOSING FOUNDATIONS

Given the growing complexity of infrastructure projects and the need for 
more assertive technical decisions, the application of computer systems with artificial 
intelligence (AI) has become essential in civil engineering. Incorrect foundation selection 
is one of the main causes of structural failures, compromising the safety and cost of 
projects. This article presents the development of the EngenharIA system, built in Java, 
which recommends foundations based on geotechnical, structural, and regulatory 
parameters. The user-friendly interface and the use of AI make the tool useful for both 
professionals and students. The methodology ranges from literature reviews to case study 
validation, demonstrating that the system adheres to best practices in geotechnical 
engineering.