This project presents the design and development of a Sports Event Management System with Team Organizing Features and an AI-Based Recommendation System. The platform aims to simplify the process of organizing sports activities by providing users with tools for event creation, team management, player discovery, and participation tracking within a unified web-based environment. The system enables users to create and manage sports events, organize teams, communicate with players, share media content, and evaluate participants through a rating system. In addition, the project integrates an intelligent recommendation engine that suggests suitable teammates based on player preferences, skill levels, and activity history using machine learning techniques. The project was developed using modern web technologies and relational database systems while focusing on usability, scalability, security, and efficient user interaction. The proposed solution contributes to enhancing sports community engagement and demonstrates the practical integration of Artificial Intelligence in sports event management platforms. This work was conducted at Arab International University (AIU), Syria. The official website of the university is: https://www.aiu.edu.sy
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Abd Al-Rahman Nashawi
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Abd Al-Rahman Nashawi (Fri,) studied this question.
www.synapsesocial.com/papers/6a002147c8f74e3340f9c28f — DOI: https://doi.org/10.5281/zenodo.20088690