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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
A Multi-Module Applicant Tracking System: From Job Posting to Employee Performance Monitoring
Authors
Samarth Gore, Sarthak Kakad, Prashant Petkar, Shwetank Gopnarayan, Sumedha Patil
Keywords
Applicant Tracking System, Resume Parsing, Hiring Automation, Performance Management, Machine Learning
Abstract
In today's job market, managing large volumes of applications using manual recruitment processes leads to inefficiency, unconscious bias, and the risk of making poor hiring decisions. This paper proposes a comprehensive Applicant Tracking System (ATS) that uses a modular architecture to address every stage of the recruitment process, from job posting and candidate evaluation to onboarding, employee management, and performance analytics. Our system significantly improves hiring efficiency and transparency by leveraging machine learning for resume parsing and ranking, as well as integrating features like employee CRUD operations and performance dashboards. The system is built on a strong technology stack (MERN) and uses Agile methodology for scalable and adaptive development. Real-time experimental results validate our system's usability, modularity, and extensibility.
IJCRT's Publication Details
Unique Identification Number - IJCRT25A4013
Paper ID - 282887
Page Number(s) - i583-i592
Pubished in - Volume 13 | Issue 4 | April 2025
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Samarth Gore, Sarthak Kakad, Prashant Petkar, Shwetank Gopnarayan, Sumedha Patil, "A Multi-Module Applicant Tracking System: From Job Posting to Employee Performance Monitoring", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 4, pp.i583-i592, April 2025, Available at :http://www.ijcrt.org/papers/IJCRT25A4013.pdf
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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