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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM56549

SBGI –AI Interview Practice Platform

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM56549

Volume:

10 |

2 |

Feb 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

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.

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Authors

.

.S.S.HARLE

2

2AJIM.J.TAMBOLI

3

3NIKHIL.N.GAIKWAD

4

4SATAYM.R.PATIL

5

5PIYUSH.M.GADE

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Abstract

The AI Interview Simulator is a browser-based, AI-driven interview preparation system designed to deliver realistic, structured, and measurable interview practice without backend dependency. The platform simulates technical and behavioral interviews through intelligent question generation, voice-based interaction, and real-time performance analysis. Built using React, TypeScript, and Tailwind CSS, the system integrates Google Gemini AI for dynamic question generation, Web Speech APIs for voice input and output, and the MediaDevices API for live camera-based interview simulation. Interview responses are evaluated using AI-driven logic to provide detailed feedback, confidence scoring, and improvement insights. All session data is stored locally in the browser to ensure privacy and security, with no persistent server-side storage. A built-in demo mode allows full functionality without API configuration, ensuring accessibility and continuous usability. The system emphasizes ethical AI usage, learner-centric feedback, and privacy-first design, enabling users to improve communication skills, technical understanding, and interview confidence through repeated practice and intelligent analysis.

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Cite This Article

.S.S.HARLE, 2AJIM.J.TAMBOLI, 3NIKHIL.N.GAIKWAD, 4SATAYM.R.PATIL, 5PIYUSH.M.GADE, "SBGI –AI Interview Practice Platform," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 2, Feb 2026.

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Publication Date

12/1/2026

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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