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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: July 2026
Volume 11 | Issue 7
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 122
Article Submitted : 25330
Article Published : 9497
Total Authors : 25208
Total Reviewer : 873
Total Countries : 172
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| Paper Title: | AI-Powered Internship Recommendation System Using Qwen-Based Semantic Matching |
| Authors Name: | Kajal Mishra , Divya Sonawane , Suhaib Jahagirdar , Syed Rehan Ali |
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IJRTI_213570
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| Published Paper Id: | IJRTI2606097 |
| Published In: | Volume 11 Issue 6, June-2026 |
| DOI: | |
| Abstract: | College students often face difficulties in finding internships that align with their skills, academic background, and career interests due to the limitations of traditional keyword-based search and filtering methods. This paper presents an AI-powered internship recommendation system that utilizes Qwen, an open-source large language model, for semantic matching between student profiles and internship opportunities. The proposed system analyzes resume content, skills, projects, and user preferences to understand contextual meaning rather than relying solely on exact keyword matches. The system integrates a JavaScript-based frontend, a Python backend, and cloud-hosted Qwen inference for recommendation generation. Preliminary evaluation indicates improved recommendation relevance and user satisfaction compared to conventional keyword-based approaches. The proposed solution demonstrates the effectiveness of semantic AI techniques in enhancing internship discovery and career guidance for students. |
| Keywords: | Internship Recommendation, Qwen, Large Language Models, Semantic Matching, Vector Embeddings, Natural Language Processing, Retrieval-Augmented Generation, Career Guidance System |
| Cite Article: | "AI-Powered Internship Recommendation System Using Qwen-Based Semantic Matching", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 6, page no.a930-a933, June-2026, Available :http://www.ijrti.org/papers/IJRTI2606097.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2606097
Registration ID:213570
Published In: Volume 11 Issue 6, June-2026
DOI (Digital Object Identifier):
Page No: a930-a933 Country: Pune, Maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2606097 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2606097 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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