Web-Based Automation for Accurate Cost Estimation and Quotation

Quantity Surveying (QS) plays a critical role in overseeing and managing construction project costs.However, conventional QS practices-often dependent on paper-based documentation and Excel spreadsheets-can be inefficient and prone to estimation inaccuracies.This study introduces a web-based QS automation framework developed using ASP.NET, designed to improve the efficiency and accuracy of cost estimation for concrete structures.The system provides a user-friendly interface that aligns with the logical sequence of construction activities, thereby improving usability and workflow.Expert validation using real project data demonstrated the framework's effectiveness, showing a notable improvement in accuracy and speed.The automated approach achieved a 99% accuracy rate in cost estimation, significantly reducing the computation time from 114 days (manual) and 19 days (Excel) to just 3 days.These improvements highlight substantial savings in both labor and time, offering a reliable and scalable solution to modern QS challenges.