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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM38462
Volume:
8 |
11 |
Nov 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.
In today’s competitive job market, effective preparation is crucial for securing desired roles. This project presents an innovative app designed to assist students and job seekers through every phase of their placement journey. Leveraging machine learning and AI, the platform offers a personalized experience, starting with seamless registration and skill gap analysis. Based on this, the app generates tailored learning modules and practice tests to enhance employability. A built-in resume builder helps users craft professional resumes, while the AI-driven mock interview feature evaluates responses, providing actionable feedback on performance, behavior, and test scores. Early tests show that the AI’s performance analysis significantly improves interview readiness, offering precise insights to help users refine their skills. This project aims to implement and optimize the app to support users’ placement preparation and performance assessment effectively.
KEYWORDS
Publication Date
8/10/2024
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.
Funding Information
No funding information available for this research.
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