We present an AI-powered interviewing system for academic-based interviews in computer science domain. It automates candidate shortlisting by conducting automated interviews, evaluating answer quality, and analyzing facial expressions for confidence and emotions. Final scores help recruiters select top candidates. The system saves time, reduces costs, and improves efficiency through advanced natural language and dialogue management.
Keywords: AI, Machine learning,NLP,generative AI,web development,data bases,deep learning,computer vision
Tools: python,django,react,rest api,postgresql
Department: Department of Computer Science
Tools: python,django,react,rest api,postgresql
Department: Department of Computer Science
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