A SELF EVOLVING AGENT FRAMEWORKFORCAREER PATH OPTIMIZATION

Abstract

The increasing complexity of modern job markets and the limitations of traditional keyword-based job search platforms have created a need for more intelligent, adaptive, and user-centric recruitment systems. This project, “A Self-Evolving Agent Framework for Career Path Optimization,” proposes an advanced
agent-based architecture designed to enhance job discovery, matching accuracy,
and recruitment efficiency. The system leverages intelligent agents, fuzzy preference rules, and profile-driven analysis to move beyond rigid keyword matching and enable context-aware job recommendations