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@article{197498,
        author = {Shubham Sandeep Lone and Priyanshu Prashant Ingle and Chinmay Mahendra Khairnar and Arya Mahesh Kelkar and Prof. Prashant Itankar},
        title = {AI Based Interview Platform: Prepify},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {7059-7063},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=197498},
        abstract = {In this study we introduce Prepify, an AI-enabled system developed to modernize interview preparation through intelligent simulation. Conventional preparation techniques often lack measurable feedback and realistic interaction, limiting candidate improvement. Our Prepify platform generates role-specific questions based on user-provided resumes or selected domains. So, spoken responses are captured and transcribed using advanced speech recognition techniques. The transcribed content is analysed using natural language processing to understand meaning, structure, and clarity. Also, adaptive questioning mechanism allows dynamic follow-up interactions during the session. A real-time text-to-speech engine creates a conversational experience resembling actual interviews. Facial and eye movement tracking is implemented using Media Pipe Iris to evaluate engagement and detect cheating. The system produces a comprehensive performance report covering communication, confidence, and behavioural indicators. Overall, Prepify provides a scalable, data-driven solution for improving interview readiness and reducing candidate anxiety.},
        keywords = {Artificial Intelligence, Mock Interview System, Speech-to-Text Processing, Natural Language Processing (NLP), Computer Vision, Eye Tracking, Human-Computer Interaction, Machine Learning, Behavioural Analysis, Interview Simulation.},
        month = {April},
        }