Paper Title

Smart Hiring Portal Using Machine Learning And Natural Language Processing

Article Identifiers

Registration ID: IJNRD_224115

Published ID: IJNRD2406431

DOI: Click Here to Get

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.

How To Cite (APA)

Sejal Gawde, Jyotsna More, Sanket Patil, Avinash Prajapati, & Aditya Sagavekar (June-2024). Smart Hiring Portal Using Machine Learning And Natural Language Processing. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(6), e319-e324. 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: 000121985

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

About Publisher

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

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Call For Paper

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

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Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

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Subject Category: Research Area

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