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@article{176495,
        author = {Puvanadevi C and Dhaya Baran M and Harish P and Mohamed Nawfal K B and Nandhagopal V},
        title = {REAL TIME AI-POWERED VIRTUAL JOB  INTERVIEW SIMULATOR},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {5791-5795},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176495},
        abstract = {This project proposes a virtual job interviews, driven by advancements in communication technologies and the increasing need for flexible hiring solutions, has transformed the recruitment landscape. Early tools like AT&T's Picture phone paved the way for remote visual interaction, while modern platforms like Zoom, Microsoft Teams, and Google Meet further revolutionized the process. With the introduction of AI-powered Virtual Job Interview Simulators utilizing Natural Language Processing (NLP), candidates now have access to realistic, interactive, and feedback-driven practice environments. These simulators offer tailored interview scenarios, real-time speech recognition analysis, and automated evaluations, providing candidates with valuable insights into their performance. By enabling candidates to refine their responses, improve interview skills, and receive industry-specific feedback, NLP-powered simulators foster a more inclusive, efficient, and accessible hiring process. This technology not only enhances candidate preparation but also optimizes recruitment for employers, contributing to a more dynamic and data-driven hiring ecosystem.},
        keywords = {Natural Language Processing (NLP), Flask (Web Framework), Web Development, Voice Recognition, GPT (Machine Learning), Sentiment Analysis},
        month = {April},
        }