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@article{169438,
        author = {Mann Monpara and Shruti Amrutkar and Kunal Puri and Gajanan Rathod and Prof. N. H. Deshpande},
        title = {A Real-Time Web Platform to Help in Student Interview Preparation using AI},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {1012-1014},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169438},
        abstract = {This paper explores the development and implementation of an AI-powered mock interview system tailored for candidates aiming to improve their technical interview skills. Our system provides a realistic and interactive experience by conducting video interviews, generating dynamic questions based on user responses, and offering spoken feedback. Additionally, it includes roadmaps for various technology stacks and allows users to view testimonials to stay motivated. By leveraging React, Node.js, and AWS, the platform ensures a seamless, scalable experience that effectively supports career development. Preliminary testing indicates that this system can significantly improve interview readiness and self-confidence.},
        keywords = {AI-Based Mock Interview, Real-Time Feedback, Technical Skill Assessment, Machine Learning, Natural Language Processing, Roadmap for Technology Stacks, Video Interview Analysis, Spoken Feedback Mechanism, Cloud Infrastructure (AWS), User Engagement in Interview Training},
        month = {November},
        }