International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | GenAI-Based Career Guidance Tool for Rural Students |
|---|---|
| ABSTRACT | Career guidance remains a critical yet significantly underserved domain for students in rural and semi- urban regions of developing nations. Traditional counseling approaches suffer from geographical constraints, language barriers, and a severe shortage of qualified career advisors. This paper presents a novel Generative Artificial Intelligence (GenAI)-powered career guidance system tailored specifically for rural students, leveraging Large Language Models (LLMs), Natural Language Processing (NLP), and multi- modal interaction to deliver personalized, context-aware career recommendations. The proposed system, termed RuralCareerGPT, integrates a fine-tuned transformer-based model with a Retrieval-Augmented Generation (RAG) pipeline, enabling it to respond intelligently to student queries in regional languages. Evaluated on a curated dataset of 4,200 rural student profiles across five Indian states, RuralCareerGPT achieves a career recommendation accuracy of 91.4%, outperforming existing baseline systems by a margin of 7–14%. The system also demonstrates superior performance on user satisfaction metrics, recording a System Usability Scale (SUS) score of 84.2. This research addresses a significant gap in the literature by proposing an end-to-end deployable, low-bandwidth-compatible GenAI solution for career counseling in resource-constrained environments. |
| AUTHOR | DR. MEGHANA G R, PREETHU B T, PRIYANKA R, PRAKRUTHI N, SNEHA S BALLARY Dept. of Computer Science & Engineering, Jain Institute of Technology, Davangere, India Dept. of Information Science & Engineering, Jain Institute of Technology, Davangere, India |
| VOLUME | 184 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1405061 |
| pdf/61_GenAI-Based Career Guidance Tool for Rural Students.pdf | |
| KEYWORDS | |
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