Published Paper Details:

ProConnect presents a novel Multi-Agent System (MAS) designed to automate and intelligently govern the end-to-end recruitment lifecycle, eliminating the inefficiencies, subjectivity, and ethical risks embedded in traditional hiring processes. The system deploys seven specialized, collaborating AI agents to manage talent acquisition comprehensively. The Resume Processing Agent leverages a Large Language Model (LLM) paired with an Explainable AI (XAI) layer to convert unstructured resumes (PDF/DOCX) into structured, queryable candidate profiles. The Candidate Selection Agent performs intelligent hybrid shortlisting by combining semantic vector search with a Skill Knowledge Graph, capturing meaningful relationships between technical competencies. A Bias Audit Agent independently monitors every hiring decision through blind screening and counterfactual testing, ensuring algorithmic fairness. A multi-specialist Debate Panel conducts structured deliberation across Technical, Cultural, and Risk evaluation perspectives before producing a consensus score. The Predictive Success Model forecasts candidate retention probability and time-to-productivity using a trained Random Forest classifier. The Career Coach Agent generates personalized upskilling roadmaps for rejected candidates. Together, these agents form a transparent, scalable, and ethically auditable intelligent recruitment platform.