 |
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
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
|
Issue: July 2026
Volume 11 | Issue 7
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
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
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | AI-Powered Internship Recommendation System Using Qwen-Based Semantic Matching |
| Authors Name: | Kajal Mishra , Divya Sonawane , Suhaib Jahagirdar , Syed Rehan Ali |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_213570
|
| 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 |
| Downloads: | 000103 |
| ISSN: |
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 |
| Publication Details: |
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 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2026 - All Rights Reserved - IJRTI | |||