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@article{198914,
        author = {Shreyash Jaiswal and Vaibhav Kushwaha},
        title = {AI Powered Mock Interview Platform},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {13060-13065},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=198914},
        abstract = {The transition from academic learning to professional employment requires strong interview skills, yet many students lack access to effective preparation resources. Traditional interview preparation methods are often expensive, subjective, and limited in scalability. This paper presents an AI-Powered Mock Interview Platform that utilizes Artificial Intelligence (AI), Natural Language Processing (NLP), and Machine Learning (ML) to simulate real-world interview scenarios. The system evaluates candidate responses, provides instant feedback, and identifies areas of improvement. It aims to offer a cost-effective, scalable, and personalized solution for interview preparation. The proposed system enhances user confidence, improves communication skills, and bridges the gap between academic knowledge and industry expectations.},
        keywords = {Artificial Intelligence, Mock Interview System, Natural Language Processing, Machine Learning, Interview Preparation, Automation},
        month = {April},
        }