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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM65754

NEXT GEN POWER - AI BASED SKILL OBSOLENCE AND FUTUTRE READINESS ANALYZER

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM65754

Volume:

10 |

7 |

Jul 2026

Pages:

1--

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM65754

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.

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Authors

SURESH N

SURESH N

Department of Computer Application

Nehru Institute of Information Technology and Management

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T.Thiyagarajan

T.Thiyagarajan

Department of Computer Application

Nehru Institute of Information Technology and Management

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Abstract

The rapid advancement of Artificial Intelligence (AI), automation, cloud computing, and digital transformation has reshaped employment. This paper presents NEXT GEN POWER – AI Based Skill Obsolescence & Future Readiness Analyzer, an AI-powered platform that parses resumes, extracts skills using NLP, performs semantic skill-gap analysis, predicts future skill obsolescence, computes career readiness metrics, and recommends companies, courses, and career paths. The system integrates React, Node.js, FastAPI, MongoDB, Sentence Transformers, and AI-based recommendations to provide personalized career intelligence.

KEYWORDS

React Node.js FastAPI MongoDB Sentence Transformers

Cite This Article

SURESH N, T.Thiyagarajan, "NEXT GEN POWER - AI BASED SKILL OBSOLENCE AND FUTUTRE READINESS ANALYZER," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 7, pp. 1--, Jul 2026. https://doi.org/10.55041/IJSREM65754

Full Article/Conclusion

The proposed AI platform provides comprehensive career intelligence through NLP, Machine Learning, semantic analysis, and recommendation systems, improving employability and workforce readiness.

References

·        Devlin J. et al., BERT, NAACL, 2019. ·        Reimers N., Gurevych I., Sentence-BERT, EMNLP, 2019. ·        Vaswani A. et al., Attention Is All You Need, NeurIPS, 2017. ·        Goodfellow I. et al., Deep Learning, MIT Press, 2016. ·        React Documentation. ·        Node.js Documentation. ·        FastAPI Documentation. ·        MongoDB Documentation.

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Publication Date

7/2/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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63

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5

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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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