HR Vision

Abstract

HR vision system was designed and implemented to address the growing need for efficient and intelligent employee management at An-Najah National University, as it still depends on manual or semi-automated HR processes, which often lead to inefficiencies, errors and delays. The proposed system aims to automate and organize core employee management processes through an integrated web and mobile platforms supported by artificial intelligence features. The key components of the proposed system include a centralized human resource management platform that manages employee records, attendance, leave requests, exit permissions, and workload allocation. In addition, artificial intelligence techniques were employed to ensure fair and efficient distribution of workloads among teaching assistants. The system also incorporates an intelligent recommendation engine to support Heads of Departments (HODs) in assigning teaching assistants to laboratory sessions and course sections. Furthermore, a user-friendly interface provided to allow teaching assistants to easily submit and track their leave and exit requests. The system was developed using a multi-layered architecture. A web application was implemented using React.js, while a cross-platform mobile application was developed using React Native to support both Android and iOS devices. The backend was built using Node.js, with MySQL employed as the primary database management system. The system supports role-based access for Human Resources (HR), Heads of Departments (HODs), and Teaching Assistants (TAs). Core functionalities include attendance management, leave and exit requests, employee registration approval, department management, workload and section distribution, schedule creation, announcements, and meetings management. Additionally, intelligent features such as a chatbot, notification system, and real-time chat were integrated to enhance usability and communication. An artificial intelligence module based on a pre- trained Ollama model was incorporated to support system assistance, suggestions, and analytical operations. Although various HR management systems are available, many focus primarily on basic administrative tasks and lack effective integration between academic workload management and communication tools. This project distinguishes itself by providing a unified platform that combines HR operations, academic scheduling, intelligent assistance, and real-time communication, offering a more cohesive and practical solution tailored to the university environment.