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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM28705
Volume:
8 |
2 |
Feb 2024
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.
This research paper presents a transformative approach to interview preparation through the integration of cutting-edge artificial intelligence and personalized learning techniques. In today’s competitive job market, traditional methods of interview readiness often lack the immediacy and tailored support needed for success. Addressing this gap, our platform utilizes advanced AI algorithms to analyze user responses, offer real-time feedback, and dynamically adjust question difficulty based on performance. By prioritizing user-centric design and ethical considerations, our research explores the development, implementation, and evaluation of this innovative solution. Insights from user feedback and performance metrics underscore the platform’s effectiveness in enhancing interview skills and fostering confidence among job seekers. This paper contributes to the broader discourse on AI-driven learning technologies and their potential to empower individuals in navigating the complexities of professional advancement.
KEYWORDS
Publication Date
12/31/45341
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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No funding information available for this research.
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