International Journal of Science, Engineering and TechnologyAuthors: Ravanaboyine Saisri, N.Sandhya Rani
Abstract: Automated intelligent software agents may mimic human communication behaviours, allowing for more organic and interesting interactions with people, thanks to the fast development of conversational AI. With these new developments, it's possible to replace human interviewers with autonomous software agents that are smarter than humans, thereby automating the candidate interview process. Conversational AI allows machines to mimic human interviewers in many ways, including asking questions, understanding and evaluating responses, and starting dynamic discussions. Improving the efficiency of the whole interview process, this automation guarantees consistent and impartial assessment, which in turn leads to more effective and fair recruiting procedures. An AI-driven interview system that can evaluate candidates in real time is the focus of this research article, which intends to provide a thorough analysis of its design and implementation. Various artificial intelligence agents work together in this system to do things like choose questions based on predefined criteria, evaluate candidates' responses, analyse speech for signs of emotion and sentiment, and then combine these findings to give distinct scores for answers and emotions in the performance evaluation. Index Terms—Generative Pre-trained Transformers (GPT), AI-driven interviews, automated candidate assessments, multimodal emotion detection, and natural language processing (NLP).
