Abstract
In today’s competitive job market, artificial intelligence (AI) is revolutionizing career development by providing data-driven insights, personalized guidance, and automation in job search preparation. AI Career Coach is a web- based application designed to assist job seekers in streamlining their job application process through AI-powered tools. This research paper explores the concept, design, and implementation of AI, highlighting its key features and technological innovations. The Industry Insights component provides users with real-time updates on trending technologies, in-demand skills, and job market statistics, helping them align their career paths with industry needs. The Mock Interview feature generates AI-driven interview questions, evaluates responses, and maintains a flowchart- based historical performance to track improvements over time. To enhance job application success, AI also offers a Resume Builder, which helps users create ATS-friendly (Applicant Tracking System-compatible) resumes optimized for recruiter searches. Additionally, the Cover Letter Builder assists users in crafting professional, tailored cover letters to strengthen job applications. This paper delves into the AI models and algorithms powering AI, the technical architecture used for its development, and the user experience design ensuring accessibility and responsiveness. It also evaluates the system’s effectiveness through performance testing and user feedback. Finally, the research discusses future enhancements, such as AI-driven career recommendations, job portal integration, and expanding support for multiple industries.
Citations
IRE Journals:
Alfesh, Devaraj, Pawan, Vishnu "AI Career Coach" Iconic Research And Engineering Journals Volume 9 Issue 3 2025 Page 1904-1908 https://doi.org/10.64388/IREV9I3-1710691-5559
IEEE:
Alfesh, Devaraj, Pawan, Vishnu
"AI Career Coach" Iconic Research And Engineering Journals, 9(3) https://doi.org/10.64388/IREV9I3-1710691-5559
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