Početna » Sinteza 2026 - International Scientific Conference on Information Technology, Computer Science, and Data Science » Student
AI-Driven Automation of the Job Application Process: the Jobpilot System
Keywords:
Artificial Intelligence, Job Application Automation, Large Language Models, Applicant Tracking Systems, Workflow Automation
Abstract:
The modern recruitment landscape is characterized by a growing asymmetry between job seekers and employers, largely driven by the widespread use of Applicant Tracking Systems (ATS). Candidates often submit 50–100 applications before receiving an interview opportunity, while a significant portion of applications is filtered out before reaching human recruiters. This paper presents JobPilot, an end-to-end automated system based on an AI vs AI approach, which leverages artificial intelligence to optimize job applications for automated screening systems. The system integrates job data acquisition, requirement analysis, and AI-based generation of personalized cover letters within a unified workflow. A key component of the system is an AI-driven process that performs semantic alignment between candidate profiles and job requirements, enabling context-aware personalization of application content. The evaluation was conducted over a three-week period involving seven users who actively used the system for job search and application submission. The results indicate a significant reduction in application time, with an average of 8.2 minutes per application, compared to traditional approaches that require substantially more time. Users reported improved efficiency and successful interview invitations, confirming the practical value of the system. These findings suggest that AI-driven automation can improve the efficiency of the job application process and support candidates in highly automated recruitment environments.
CITATION:
IEEE format
M. Tahirović, U. Marovac, “AI-Driven Automation of the Job Application Process: the Jobpilot System,” in Sinteza 2026 - International Scientific Conference on Information Technology, Computer Science, and Data Science, Belgrade, Singidunum University, Serbia, 2026, pp. 632-637. doi:10.15308/Sinteza-2026-632-637
APA format
Tahirović, M., Marovac, U. (2026). AI-Driven Automation of the Job Application Process: the Jobpilot System. Paper presented at Sinteza 2026 - International Scientific Conference on Information Technology, Computer Science, and Data Science. doi:10.15308/Sinteza-2026-632-637
BibTeX format
Download
RefWorks Tagged format
Download
