CareerPath AI: A Hybrid Database and Large Language Model Approach to Skill-Based Career Recommendation for Engineering Students

Explore the article titled CareerPath AI: A Hybrid Database and Large Language Model Approach to Skill-Based Career Recommendation for Engineering Students from IJIRT Volume 12, Issue 11. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

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Publication Details

Journal
International Journal of Innovative Research in Technology
Published
2026-04-14
DOI
https://doi.org/10.64643/ijirtv12i11-197747-459
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

CareerPath AI: A Hybrid Database and Large Language Model Approach to Skill-Based Career Recommendation for Engineering Students

Asad Farooque Azam
International Journal of Innovative Research in Technology
Intelligent Tutoring Systems and Adaptive Learning
article

CareerPath AI: A Hybrid Database and Large Language Model Approach to Skill-Based Career Recommendation for Engineering Students

Asad Farooque Azam
article en

Abstract

Explore the article titled CareerPath AI: A Hybrid Database and Large Language Model Approach to Skill-Based Career Recommendation for Engineering Students from IJIRT Volume 12, Issue 11. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

International Journal of Innovative Research in TechnologyVol. 12(11)
D.Y. Patil University (IN)
Openalex Percentile: Top 7%
Intelligent Tutoring Systems and Adaptive Learning
DOIOpen Access PDFOpenAlex
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CareerPath AI: A Hybrid Database and Large Language Model Approach to Skill-Based Career Recommendation for Engineering Students — Asad Farooque Azam · International Journal of Innovative Research in Technology (2026) | TGRS Research Map | TGRS