Developing an Intelligent Integrated Software Agent for Streamlined Interview Automation and Enhanced Candidate Insights

As the field of Conversational AI is advancing rapidly, introducing automated intelligent software agents in human interactions can exhibit human-like communicative be-haviors facilitating in more natural and engaging interactions with humans. These advancements provide opportunities to automate the candidate interview process by replacing human interviewers with intelligent autonomous software agents. Using Conversational AI, agents can ask questions, understand and evaluate response and initiate dynamic conversations closely resembling human interviewers. This automation enhances the efficiency of the overall interview process and ensures consistent and unbiased evaluation leading to more effective and fair hiring practices. This research paper aims to present a comprehensive study on the development and implementation of an AI-driven interview system designed to conduct candidate evaluations in real-time. The system integrates multiple AI agents, each performing different roles such as selecting predefined questions, evaluating candidate response, analyzing speech to assess emotions and sentiments, and synthesizing these analysis to provide separate scores for answers and emotions in the performance assessment.