Small building projects have an important role in providing housing for communities and are considered one of the most important drivers of countries’ economy. One of the most important and common problems in small building projects is improper management of time and the occurrence of numerous and longtime delays. This study aims to introduce an efficient tool to answer the challenges of time management in small building projects. For this purpose, a time management system using web and machine learning capabilities has been developed. Different parts of the system, provide capabilities for identifying project activities and their precedencies, estimating the work volume of activities, tracking the progress of the project, and finally, predicting delay factors and proposing appropriate predictive and corrective actions. With the completion of the development phase, the time management system has been implemented in an ongoing project and the opinions of employees of contracting companies have been collected as users of the system. By reviewing the opinions of users, it was found that despite relatively low satisfaction with the level of user-friendliness, the time management system has been relatively successful in improving time management and reducing delays.