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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: April 2026
Volume 11 | Issue 4
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 119
Article Submitted : 23423
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Total Authors : 24024
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Published Paper Details
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| Paper Title: | Career Vault: An AI-Powered EdTech and Job Enablement Portal for Skill Development and Career Growth |
| Authors Name: | Boobala K , Devaprasanth E , Jeevananthan M , Nayana Preethi R , Dr. S. Angel Latha Mary |
| Download E-Certificate: | Download |
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IJRTI_210665
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| Published Paper Id: | IJRTI2603139 |
| Published In: | Volume 11 Issue 3, March-2026 |
| DOI: | |
| Abstract: | The education-to-employment transition remains difficult because candidate skills are represented inconsistently across resumes and profiles, job requirements are described in diverse vocabularies, and learning resources are scattered across platforms without a direct link to hiring outcomes. This paper presents Career Vault, a multi-role EdTech and job enablement portal that unifies resume understanding, explainable job recommendations, skill-gap analysis, assessment-based validation, and structured career roadmaps within a single lifecycle. Career Vault serves Students, Freshers, Professionals, HR/Recruiters, and Administrators through role-based workflows. The system combines a weighted scoring model with AI-assisted semantic analysis to generate interpretable match scores on a 0–100 scale and to produce actionable explanations that identify strengths, missing competencies, and estimated ramp-up effort. The learning engine converts gaps into phased roadmaps with milestones and progress tracking, while assessments provide evidence signals that update matching confidence over time. A prototype evaluation on curated candidate profiles and job descriptions reports 87.3% accuracy for resume skill extraction, 89.1% accuracy for job–candidate matching, and an average user satisfaction score of 8.5/10. These results indicate that integrating matching, learning remediation, and validation improves recommendation relevance and user trust compared to listing-centric portals. |
| Keywords: | EdTech, Talent Matching, Resume Parsing, Skill Gap Analysis, Skill Assessment, Career Roadmap, Explainable AI |
| Cite Article: | "Career Vault: An AI-Powered EdTech and Job Enablement Portal for Skill Development and Career Growth", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 3, page no.b316-b321, March-2026, Available :http://www.ijrti.org/papers/IJRTI2603139.pdf |
| Downloads: | 00089 |
| 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 |
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Published Paper ID: IJRTI2603139
Registration ID:210665
Published In: Volume 11 Issue 3, March-2026
DOI (Digital Object Identifier):
Page No: b316-b321 Country: Tiruvannamalai, Tamil Nadu, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2603139 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2603139 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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