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@article{191832,
        author = {Kandanathi chittem balaji and Pikkilli Rajesh Naidu and Guddeti Uday kiran and SakaRay Mallikarjuna and Mr T. Somasekhar M.tech Assistant professor and Dr. C.V. Madhusudan Reddy},
        title = {HireAI: An AI-Based Platform for Student Interview Readiness and Skill Enhancement},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {8100-8104},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=191832},
        abstract = {The widening gap between learning abilities and the expectations of the structured interview has resulted in graduate employability emerging as a challenge for institutes of higher learning. This is attributed to the fact that many of these students have the necessary learning ability but lack experience in doing adaptive technical analysis and are not subjected to feedback on the mock interview process. The classic approach entails traditional resume screening, static analysis, and faculty-led mock interviewing.
In the paper, the term HireAI stands for a semantic resume analysis and interview simulation system powered by AI. This system is a comprehensive framework that provides a range of analysis capabilities for the interview-ready assessment of candidates. These capabilities include skill relevance, technical skills, and communication skills. An experiment conducted among undergraduate students resulted in less bias on the part of the assessors and increased scalability when compared to the traditional methods used in interview preparation. This indicates that HireAI is a functional data-driven solution for interview readiness assessment.},
        keywords = {Artificial Intelligence, Employability Assessment, Interview Readiness, Resume Analysis, Adaptive Assessment},
        month = {February},
        }