Human-Like Hiring at Scale: A Conversational AI and Computer Vision Approach

Artificial Intelligence (AI) is emerging as a major facilitator for recruiting today. Although human interviews are still helpful, they have become a bottleneck for recruiting due to uneven judgment, human availability, and unconscious bias towards less-qualified applicants. We also recognize that fairness and quality become increasingly difficult for HR teams as the number and cost of hires increase. To help mitigate this challenge, we built an AI-Powered Interview Bot to automate the entire process of interviewing using Google Generative AI to create questions dynamically, OpenCV for live face detection, Firebase for secure storage and authentication, and LangChain to provide context to the LLM. Streamlit is used for the interface delivery. The bot analyzes resumes and job descriptions, generates tailored questions, monitors behavior using facial ID and session tracking, and provides detailed interview summaries. This paper discusses design, implementation, testing, security, and potential extensions like sentiment analysis and hybrid interviewing.