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@article{201537,
        author = {Sanyukta Deshmukh and Nikita Mandke and Siddhi Mali and Satyajeet Mali and Aditya Loya},
        title = {AI Based Mock Interviewer},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {10328-10335},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=201537},
        abstract = {The difficulty of interviewing remains significant, but it can be a daunting obstacle for academic and professional advancement. The reason why many candidates struggle is not their skill shortage, but the absence of personalized, immediate, and actionable feedback. Currently, most of the existing preparation platforms only offer generic questions and provide post-session evaluations, missing opportunities for astute corrections. Why? To close this gap, this paper presents the architecture and methodology for Intelli-View, an innovative AI-powered mock interviewer. By utilizing advanced models of Natural Language Processing (NLP) and speech analysis, the proposed system provides real-time intervention on grammar, tone, fluency, and confidence. The ability of Intelli-View to generate highly personalized interview questions is due to its analysis of a candidate's resume, which can be tailored to their specific field of study and practice. Essentially, this system continuously evaluates non-verbal aspects of speech, including pitch and rate of speaking, to provide ongoing feedback that greatly improves the effectiveness of overall communication. Once a session is completed, users are provided with individualized performance dashboards that provide valuable insights and provide continuous monitoring to ensure they are improving. A safe, adaptive, and highly interactive practice environment is created through Intelli-View to alleviate candidate anxiety, promote genuine confidence, and significantly improve interview performance.},
        keywords = {Artificial Intelligence, Mock Interview, Natural Language Processing, Real-Time Feedback, Speech Analysis, Personalized Learning.)},
        month = {May},
        }