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

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-13
DOI
https://doi.org/10.5281/zenodo.19559194
Primary Topic
Video Analysis and Summarization
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Tarek Barhoum, Abdulrahman Nashawi
Zenodo (CERN European Organization for Nuclear Research)
Video Analysis and Summarization
article

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

Tarek Barhoum, Abdulrahman Nashawi
article en

Abstract

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

Zenodo (CERN European Organization for Nuclear Research)
Arab International University (SY)
Openalex Percentile: Top 17%
Video Analysis and Summarization
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Sports Event Management System With Team Organizing Features and AI-Based Recommendation System — Tarek Barhoum, Abdulrahman Nashawi · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS