Can LLMs guide career path planning?
Steve: LLM Powered ChatBot for Career Progression
This paper introduces "Steve," an LLM-powered chatbot designed to assist with career progression. It analyzes user resumes, assesses skills, recommends career paths, and suggests relevant online courses. While not explicitly a multi-agent system in its current form, the modular design and planned future development using real-time job market data and user feedback create opportunities for incorporating multiple interacting AI agents, for example, specializing in different skill domains or industry sectors. Key points relevant to multi-agent development include the potential for distributed task allocation (resume parsing, skill assessment, course recommendation), specialized agent functions, and dynamic interaction based on real-time information. The proposed interactive coaching and feedback mechanisms lay the groundwork for agent-to-agent communication and learning, where agents could refine recommendations based on other agents' observations.