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ISSN: 2755-6190 | Open Access

Open Access Journal of Artificial Intelligence and Technology

Volume : 1 Issue : 2

MockHire: Enhancing Candidate Preparedness and Streamlining Recruitment Through AI-Powered Interview Simulation, Evaluation and Application Tracking

Reshma Totare, Siddhi Uttekar*, Sneha Gonjari and Ishwari Abuj

ABSTRACT
Competition in the job market is getting tougher. The conventional mock interview companies often incurred limitations on the number of people available who could provide subjective feedback. This proposal is both candidate-interview preparation-friendly and recruiter-shortlisting-friendly. Candidates can view job postings, submit CVs and resumes, and enter into AI mock interviews. Recruiters may post jobs, review candidates’ responses, manage applications, and optionally conduct mock interviews with the help of AI. There, resume parsing, adaptive questioning, performance analytics, and visualization identify shortlisted candidates through delivering relevant, evidence-based insights to candidates as well as recruiters.

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