International Journal For Multidisciplinary Research

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Mockmate Copilot: Intelligent Peer Interview Prep

Author(s) Ms. Kavya S, Mr. KARTHIK GOPALA MADIVALA, Ms. KRUTHIKA B I, Ms. PRIYA Y M, Ms. SINCHANA N S
Country India
Abstract The increasing competition in the job market demands efficient, interactive, and affordable ways to prepare for interviews. MockMate Copilot is an AI-driven peer interview preparation platform that bridges the gap between self-practice and professional coaching. The system enables users to participate in mock interviews with peers or intelligent AI support, providing real-time feedback and personalized recommendations. Powered by natural language processing (NLP), machine learning (ML), and performance analytics, MockMate Copilot evaluates user responses, measures confidence, and delivers constructive insights for continuous improvement. Its dual-role framework allows participants to act as both interviewer and interviewee, fostering collaboration and mutual learning. By democratizing access to quality interview practice, the platform helps individuals enhance confidence, communication, and employability in a cost-effective, data-driven environment.The AI copilot generates relevant questions, analyzes responses, and provides personalized feedback to help users strengthen clarity, confidence, and communication. With its peer-driven learning approach, the platform enables collaborative practice, continuous improvement, and realistic simulations without real-world pressure. Overall, MockMate Copilot enhances interview readiness by combining human interaction with intelligent, adaptive guidance.
Keywords Peer interview, AI, mock interview, interview preparation, performance analytics.
Field Engineering
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-12-05
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.62559
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E-ISSN 2582-2160
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