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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
Journal Information
ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
Compliance: UGC Journal Norms
License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 05

Published on: May 2026

AI CAREER NAVIGATOR

Shriyasha Thakur Rutuja Thakur Atharva Shinde

Prof. Namrata Singh

Department of Information Technology Terna Engineering College

Navi Mumbai India
DOI:https://doi.org/10.55041/ijcope.v2i5.442

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Plagiarism Passed Peer Reviewed Open Access

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Abstract

The AI Career Navigator research paper introduces a unified platform that uses AI to analyze resumes, plan careers, and network among alumni. The platform leverages natural language processing (NLP) technology to score applications against ATS systems, while retrieval-augmented generation is used for creating personalized roadmaps, guided by a chatbot. In this research paper, we will discuss the creation of the platform using Next.js and Neon PostgreSQL.

Keywords— Resume analysis, career guidance, alumni networking, NLP, roadmap generation, RAG

How to Cite this Paper

Thakur, S., Thakur, R. & Shinde, A. (2026). AI Career Navigator. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(05). https://doi.org/10.55041/ijcope.v2i5.442

Thakur, Shriyasha, et al.. "AI Career Navigator." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i5.442.

Thakur, Shriyasha,Rutuja Thakur, and Atharva Shinde. "AI Career Navigator." International Journal of Creative and Open Research in Engineering and Management 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i5.442.

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References


  1. Kesim, Named Entity Recognition in Resumes for Automated ATS Scoring, arXiv preprint, 2023.

  2. Loganathan et al., "AI-Powered Alumni Portal: Connect, Learn, Thrive," International Research Journal on Advanced Science Hub, vol. 7, no. 1, 2025.

  3. Gugnani et al., "Implicit Skills Extraction Using Document Embedding and Its Use in Job Recommendation," in Proc. AAAI Conf. on Artificial Intelligence (IAAI-20), 2020.

  4. Rashid et al., A Comprehensive Review of Career Guidance Systems using Machine Learning, IEEE Access, vol. 9, pp. 63406-63439, 2021.

  5. Muralidhar et al., Alumni Association Platform Using Machine Learning, International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), vol. 14, no. 3, 2025.

Ethical Compliance & Review Process

  • •All submissions are screened under plagiarism detection.
  • •Review follows editorial policy.
  • •Authors retain copyright.
  • •Peer Review Type: Double-Blind Peer Review
  • •Published on: May 15 2026
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This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.

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