Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM53383
Volume:
9 |
10 |
Oct 2025
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.
In today’s competitive job market, effective interview preparation is essential for career success. This paper presents CareerPilot, an AI-powered interview preparation system platform designed to assist candidates in enhancing their technical, communication, and analytical skills through intelligent automation and personalized feedback. The system integrates multiple modules, including AI Interview Coach, Resume Analyzer, Domain Knowledge Assessment, and an Interactive Code Editor, to provide a comprehensive preparation experience. Leveraging advanced Machine Learning (ML) techniques, the platform evaluates user responses, measures communication fluency, and offers targeted recommendations for improvement. Additionally, CareerPilot provides real-time analytics such as quiz performance, problem-solving progress, skill rating, and communication score tracking, enabling users to monitor their overall readiness. The user-friendly dashboard and cloud-based architecture ensure accessibility across devices, while continuous AI-driven adaptation personalizes the learning path for each user. This approach significantly enhances self-assessment, confidence, and employability by simulating realistic interview environments and providing data-driven insights into performance.
KEYWORDS
Publication Date
3/10/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
5
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...