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Stream/Area:
-
Subject:
-
Paper ID:
IJSREMWP1022
Volume:
9 |
5 |
May 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.
As the job market undergoes rapid change due to technology and the economy, the risk of layoff is at an all-time high. People today need to adjust to change. This web application will help users adjust to the dynamic employment market by informing them of the latest skill-based job postings across various websites with extensive information, including analytical tools. Using sophisticated AI algorithms, the application will enable a deep analysis of skill requirements in various job postings so users can follow the emergence of trends and in-demand skills important for future employment. The application will allow the user to perform a risk analysis of the current job to assess the risk of job loss. The application will help people analyze the current job market to determine if a skill and further courses would be advisable for the user based on their career direction. It will include further suggestions and insights based on various freelance and remote work opportunities. For those considering a career change, a skill-based recommendation of transferable skills will also be available with a job compatibility score and overview of suggested roles. The application will utilize smart interview training, in-market salary trends in real-time, and negotiation support to assist users in advocating for their worth.In addition, the application will provide users access to the hidden job market via networking opportunity tools, and job suggestions. As a bonus, an AI-based career roadmap will be part of the application to assist users in using the application to help plan their next career moves and ensure they are working on their career proactively.
KEYWORDS
Publication Date
5/18/2025
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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