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Stream/Area:
-
Subject:
-
Paper ID:
IJSREMWP58455
Volume:
10 |
3 |
Mar 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.
An AI-driven interview preparation platform with personalized skills was developed to assist job seekers in preparing for technical and HR interviews using artificial intelligence services. The platform integrates the Gemini AI API to analyze user resumes, skills, and job preferences and generate personalized interview questions, skill evaluations, and improvement suggestions. The system provides features such as ATS resume scoring, role-based interview question generation, mock interview assistance, and performance feedback. Based on the user’s current skill level, the platform highlights strengths, identifies skill gaps, and recommends areas for further improvement. All AI-based analyses and recommendations were obtained through real-time interactions with the Gemini API without implementing custom machine learning or NLP models. This platform aims to simplify interview preparation by offering an intelligent, personalized, and user-friendly solution that aligns with current recruitment processes, thereby improving candidate confidence and their readiness for interviews.
KEYWORDS
Publication Date
3/2/2026
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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