Published Paper Details:

Proconnect presents a novel Multi-Agent System (MAS) designed to automate and enhance the traditional recruitment workflow, addressing the inefficiencies and biases inherent in manual candidate screening and interviewing. The Proconnect system utilizes a specialized quartet of interconnected AI agents to manage the talent acquisition process end-to-end. First, the Resume Processing Agent employs a Large Language Model (LLM) to extract and structure critical data from unstructured resumes (PDF/DOCX), storing it in a query-able database. Next, the Candidate Selection Agent efficiently filters and shortlists applicants by matching recruiter-specified keywords and experience requirements against the structured data. Following this, the Questionnaire Preparation Agent dynamically generates job-specific and highly relevant interview questions. Finally, the Interviewer Agent conducts a conversational interview, analyzes the candidate's responses, and provides a final quantitative score and qualitative summary. By dividing the complex hiring task into specialized, modular functions, Proconnect delivers a transparent, scalable, and highly effective framework for automated talent acquisition, significantly reducing time-to-hire while improving the quality and consistency of candidate assessment.