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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
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| Paper Title: | CareerMate - Job Application Tracker Using NLP & ML |
| Authors Name: | Nidhi Kulkarni , Nisha Dhotre |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_212828
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| Published Paper Id: | IJRTI2606020 |
| Published In: | Volume 11 Issue 6, June-2026 |
| DOI: | |
| Abstract: | In today's competitive job market, most of the candidates apply to multiple job roles across different platforms, which makes it difficult to track applications and assess their own progress. This paper presents CareerMate, an intelligent Al job application tracking system which utilizes Natural Language Processing (NLP) and lightweight Machine Learning (ML) techniques to refine their job search process. This system draws out related information from resumes and job descriptions to calculate a Resume-Job Match Score using text similarity techniques. It also identifies missing skills through a skill gap analysis module and forecasts interview probability using supervised learning models. Moreover, a centralized dashboard provides valuable visual insights into application status and performance. The proposed system improves efficiency, enhances decision-making, and provides data-driven career guidance. The study shows how Al-based tools can considerably optimize job tracking and improve employability. |
| Keywords: | Resume Analyzer, NLP, Machine Learning, Recruitment Automation, Resume Matching |
| Cite Article: | "CareerMate - Job Application Tracker Using NLP & ML", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 6, page no.a164-a171, June-2026, Available :http://www.ijrti.org/papers/IJRTI2606020.pdf |
| Downloads: | 000134 |
| 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: IJRTI2606020
Registration ID:212828
Published In: Volume 11 Issue 6, June-2026
DOI (Digital Object Identifier):
Page No: a164-a171 Country: Pune, Maharashtra, India Research Area: Electronics & Communication Engg. Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2606020 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2606020 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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