Sports Event Management System With Team Organizing Features and AI-Based Recommendation System

This project presents a digital platform designed to streamline sports event management by connecting athletes, enabling event creation, team building, and intelligent player matching. The system integrates an AI-based recommendation engine that suggests compatible teammates based on skill levels, preferences, and past activity patterns. Key features include user authentication, event scheduling, team management, player rating and review system, media gallery for sharing event highlights, and real-time notifications. Unlike existing platforms such as Meetup or TeamSnap, this system uniquely combines comprehensive event management with machine learning-driven player recommendations and social interaction tools. The platform is built using modern web technologies (HTML, CSS, JavaScript, React/Angular) and backend frameworks ( Node.js), with MySQL or SQL Server for data storage. The AI component leverages machine learning models for rating analysis and activity pattern recognition. This work was conducted at Arab International University (AIU), Syria. The official website of the university is: https://www.aiu.edu.sy