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@article{174693,
        author = {Dr.KJeyalakshmi and Mr K.AbishekPandian and Mrs S.SriLalitha},
        title = {AI BASED MOCK INTERVIEW SYSTEM},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {1035-1037},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174693},
        abstract = {An AI-based mock interview system is an advanced tool designed to help job seekers practice and refine their interview skills through intelligent automation and real-time feedback. Using natural language processing (NLP) and machine learning, the system simulates real-world interview scenarios tailored to different industries, job roles, and experience levels. It dynamically generates and adjusts questions based on user responses, ensuring a personalized and adaptive experience. The system supports various interview formats, including behavioral, technical, HR, case-based, and coding interviews, with a built-in coding environment that evaluates solutions for correctness, efficiency, and best practices. To enhance the user experience, the system integrates speech and facial recognition technologies to analyze tone, confidence, and engagement, offering constructive feedback on communication skills. It assesses responses for clarity, relevance, and technical depth, providing users with actionable insights for improvement. Additionally, users can track their progress over multiple sessions, access interview performance analytics, and receive AI-driven recommendations for enhancing their resumes and overall interview strategies. By leveraging artificial intelligence, this system not only helps candidates gain confidence but also improves their ability to articulate responses effectively, identify areas of weakness, and refine their problem-solving skills. Whether preparing for entry-level positions or executive roles, the AI-based mock interview system serves as a powerful, data-driven tool that maximizes interview success and career opportunities in an increasingly competitive job market.},
        keywords = {AI-based mock interview, Natural Language Processing (NLP), Machine Learning Interview Simulation, Real-time Feedback, Speech Recognition.},
        month = {April},
        }