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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM60502
Volume:
10 |
4 |
April 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The AI-Powered Mock Interview Platform is designed to help candidates prepare for real-world interviews through an interactive and intelligent simulation environment. It uses advanced AI models such as Google Gemini to generate role- specific interview questions across multiple domains. The platform evaluates user responses based on technical accuracy, clarity, and confidence, while also analyzing facial expressions using OpenCV and deep learning models built with TensorFlow. It provides real-time feedback, personalized suggestions, and performance tracking through an analytics dashboard. The system includes an AI-based coaching assistant that offers instant interview tips, improvement strategies, and guidance. With a modern tech stack built on React and Flask, the platform ensures a seamless, secure, and user-friendly experience. The platform also maintains a detailed history of user interviews, including transcripts, scores, and feedback reports. This allows users to monitor their progress over time, identify recurring mistakes, and continuously refine their interview performance. The system transforms interview preparation into a structured, data-driven process, helping users improve their skills, confidence, and job readiness.
KEYWORDS
Publication Date
4/18/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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