Paper Title
Smart Hiring Portal Using Machine Learning And Natural Language Processing
Article Identifiers
Authors
Sejal Gawde , Jyotsna More , Sanket Patil , Avinash Prajapati , Aditya Sagavekar
Keywords
Abstract
The "Smart Hiring Portal" is a web application that aims to simplify the hiring process, for both employers and job seekers. It incorporates features like extracting details from resumes suggesting relevant courses based on skills and providing user friendly interfaces for resume upload and download. Employers can benefit from an interface that allows them to post job vacancies efficiently manage applicant lists and shortlist or reject candidates based on their qualifications. Additionally the system provides job suggestions tailored to job seekers preferences and skills creating a job search experience. The Smart Hiring Portal aims to revolutionize the recruitment process by integrating these features. Its goal is to make it more efficient personalized and create connections between employers and job seekers. This project represents a step in leveraging technology to address the evolving needs of the job market while fostering mutually beneficial relationships, in the professional world.The Smart Hiring Portal provides a comprehensive answer to the enduring problems associated with talent acquisition by utilizing the complementary strengths of NLP and ML. Employers may make well-informed recruiting decisions because to its resume parsing tool, which not only extracts relevant information but also recognizes subtle skills and experiences. The site's course recommendation modules also analyze user data and industry trends to advise specific learning opportunities, enabling job searchers to improve their credentials and competitiveness in the labor market. The Smart Hiring Portal, with its user-centric design and extensive feature set, heralds a new age in recruitment approaches marked by efficiency, customization, and strategic alignment with organizational goals in talent acquisition.
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"Smart Hiring Portal Using Machine Learning And Natural Language Processing", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 6, page no.e319-e324, June-2024, Available :https://ijnrd.org/papers/IJNRD2406431.pdf
Issue
Volume 9 Issue 6, June-2024
Pages : e319-e324
Other Publication Details
Paper Reg. ID: IJNRD_224115
Published Paper Id: IJNRD2406431
Downloads: 000121147
Research Area: Engineering
Country: Mumbai, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2406431.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2406431
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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