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@article{195090,
        author = {SARAGADAM DILIP KUMAR and Surupalli Hemanth and Vadisala Sharan Sai and Nadigatla Leela kumari},
        title = {Cognitive Interview Evaluation System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {7209-7212},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195090},
        abstract = {AI-based Cognitive Interview Evaluation System is an intelligent platform that analyzes interview performance using text-based and voice-based responses. The system uses Natural Language Processing (NLP), Speech Recognition, and Machine Learning techniques to evaluate communication skills, confidence, sentiment, and response quality. It supports both recruitment and candidate interview practice by providing real-time feedback and unbiased scoring. The system reduces manual effort, minimizes bias, and improves evaluation accuracy and consistency.},
        keywords = {NLP, Speech Recognition, Machine Learning, Interview Analysis, Sentiment Analysis, Database.},
        month = {March},
        }