Multi-Agent Personalized Interview Coach: An AI-Powered Platform for Career Readiness

Abstract

Now that so many people are looking for work, it is more difficult to prepare for an interview. When it comes to preparing, personalizing resumes, and locating authentic practice opportunities, students and recent graduates have a lot of work ahead of them. The fact that current resources are dispersed across several platforms causes inefficiencies, a lack of confidence, and less than ideal outcomes. To bridge this gap, we developed a Multi-Agent Personalized Interview Coach, an AI-powered platform that integrates practice interviews, resume writing, job search, and personalized education. The system uses voice recognition, Natural Language Processing (NLP), Large Language Models (LLMs), and 3D conversational avatars to help people prepare for their careers from beginning to end. Based on a multi-agent model, the design assigns each agent a specific task, such as learning, creating a resume, matching jobs, emulating interviews, and monitoring performance. The platform speeds up the job application process, increases candidates' confidence, and improves JD alignment, according to the results. By promoting inclusive education, improving employability, and encouraging technological innovation, this study advances the Sustainable Development Goals (SDGs 4, 8, and 9).