Mobile Application for Job Recommender System Connecting Students and Startups/SMEs for Practical Experience and Skill Development

Abstract

Practical experience plays a vital role in helping students determine their desired fields, bridging the gap between the labor market and the academic output of university students. Startups and small and medium enterprises (SMEs) have been recognized as effective drivers of economic and social growth by providing valuable services and employment opportunities. These companies also contribute to the development of technical and managerial skills through training programs. However, SMEs often face challenges in recruiting and training manpower due to their limited resources and the absence of dedicated human resources (HR) departments.Technological advancements have revolutionized recruitment methods, offering solutions to various challenges. The recruitment process, a critical function of HR departments, aims to identify the most suitable candidates for company positions. Tech giants have introduced innovative approaches, utilizing technical services and improved e-recruitment platforms to enhance employee recruitment and extend work flexibility. While e-recruitment platforms efficiently reach a large pool of potential job seekers, they often struggle with accurately matching applicants with job requirements using the Boolean search technique.To address these challenges, artificial intelligence (AI) techniques are increasingly employed in e-recruitment processes. AI algorithms excel in handling repetitive tasks, enhancing hiring processes, increasing work flexibility, and improving decision-making, thereby reducing time and effort required for hiring. Organizations are encouraged to adopt these advanced technologies to gain a competitive advantage in recruitment and selection, with recommender systems (RSs) becoming crucial in achieving optimal matches between job seekers and jobs.This research project aims to design and develop a mobile application that supports the Arabic language. The application targets both students and startups/SMEs, offering a platform for startups and SMEs to find talented employees for essential tasks and projects. Simultaneously, students, including high school, university, and fresh graduates, can access job opportunities aligned with their interests, developing their skills and building their careers. The application provides flexibility, enabling students to utilize their free time and gain practical experience. By strengthening students' resumes and providing practical experience before graduation, they become familiar with market needs and can actively work towards meeting them.

Keywords: Artificial Intelligence, Recommender Systems, E-recruitment

DOI: 10.54941/ahfe1004604