Engineers are finding it more difficult to manage technical projects in an economy that is growing more and more competitive, where efficient project planning and control methods are needed to meet clients’ contractual obligations. Technical goals must be met, and projects must be finished on time and within budget, according to successful project managers. An efficient project control system must be created, developed, and put into place in order to give management timely and reliable information about variations in time and cost parameters from the target objectives set throughout the project’s planning cycle. A method for project planning and control named Earned Value Management (EVM) offers indicators for schedule and cost performance. Among its advantages is the ability to see how the project is really progressing in relation to the budget, forecasts of expected project cost and schedule trends, as well as the capacity to promptly address any undesirable deviations. The fundamental procedures needed to apply Earned Value Analysis (EVA) effectively are outlined in the Earned Value Management System (EVMS). This method of measuring project performance has become prevalent in the building sectors of the United States, United Kingdom, Australia, and South Korea. Its use as a project control approach is uncommon in Iraq. The EVM System was used in this study to construct a highway track project in Iraq. This project has funding from the government. The scope of work for the contractor, schedule charts, work in progress reports, and budgeted and actual cost reports are all included in this document. The purpose of this case study is to provide a practical example of how artificial neural networks can be used to apply the Earned Value Management System (EVMS) to infrastructure projects in Iraq. This will make it simple for project managers to utilize EVA in order to manage the budget and timeline for their building projects.