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@article{176243,
        author = {Akshada Ganpatrao Katkar and Pratik Navnath Hole and Namrata Sunil Kadam and Sakshi Sanjay Jagtap},
        title = {AI Driven Interview Solution},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {6248-6252},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176243},
        abstract = {-“AI-Driven Mock Interview Solution” is a smart web application designed to help job seekers practice and improve their interview skills using advanced AI technologies. Built with Next.js, React, and AI tools like face-api.js and @google/generative-ai, the platform simulates realistic interview scenarios tailored to various job roles. Users can securely log in or sign up, choose a job role, and begin a mock interview with real-time camera activation. The system analyses facial expressions, emotional states, and voice input to evaluate both verbal and non-verbal communication. It also gives AI-generated audio questions and converts user speech into text for evaluation. A warning system alerts users if they lose visual engagement (e.g., looking away from the camera), ensuring focused practice. After the session, users receive a detailed performance report with scores and personalized feedback on areas like voice clarity, emotion control, and eye contact. This interactive platform blends interview coaching, emotion analysis, and real-time feedback to offer an engaging, data-driven preparation experience empowering users to build confidence and succeed in real interviews.},
        keywords = {AI-generated questions, AI-powered feedback, Emotion analysis, Eye contact detection, Facial expression tracking, Interview coaching, Job role simulation, Mock interview, Performance report, Real-time feedback, Speech-to-text, User authentication, Verbal communication, Voice clarity and tone.},
        month = {April},
        }