Abstract --In today’s competitive job market, candidatesmust clear aptitude, technical, and HR interview rounds.Many candidates face difficulties due to lack of practice,limited feedback, and less exposure to real interview situations. Traditional mock interviews are time-consuming and not flexible. To solve this problem, this paper proposes an AI-based Mock Interview Simulatorfor interview preparation.The system allows candidates to upload their resume andselect the interview round and difficulty level. Based onthese inputs, AI generates relevant interview questions.Candidate answers are analyzed using Natural LanguageProcessing to evaluate clarity, relevance, and correctness.Confidence and communication skills are assessed usingposture and facial analysis with CNN and MediaPipe. Thesystem provides instant feedback and improvementsuggestions. Experimental results show improvedconfidence and interview performance, making the systema useful and scalable solution for interview training.
Ms.D.PRADHIBA, Ms.B.Santhiya, Ms.K.Inbakarthika, Ms.N.Nivedha (Wed,) studied this question.