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@article{189276,
        author = {Manaswini G A and Poornima S B and Bharathkumar G B and Yuvaraj H P and Prof. Bharth Kumar B S and Dr. Hanumanthappa S},
        title = {Development of an Intelligent Mock Interview Platform Using Generative AI},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {5227-5234},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=189276},
        abstract = {Contemporary job markets demand robust inter- view preparation strategies that extend beyond conventional methodologies. This paper presents the architecture and implementation of an intelligent mock interview platform leveraging generative artificial intelligence and natural language processing capabilities. The proposed system incorporates automated question synthesis, real-time response evaluation, and personalized feedback mechanisms to enhance candidate preparedness. By integrating the Gemini API with a full-stack web architecture comprising React, Node.js, and MongoDB, the platform delivers adaptive interview simulations tailored to specific roles and experience levels. Comprehensive testing validates system reliability, security, and usability across multiple deployment scenarios. Performance metrics demonstrate significant improvements in user confidence and technical proficiency through iterative practice sessions with AI-generated evaluation. The system achieved 99.2% uptime with sub-second database response times and maintained strong correlation (0.81) between automated and expert human evaluations.},
        keywords = {Generative AI, Mock Interview System, Natural Language Processing, Automated Evaluation, Web Application, Career Preparation},
        month = {December},
        }