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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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| Paper Title: | WORKBRIDGE-AI DRIVEN EMPLOYMENT PORTAL FOR SKILLED PROFESSIONALS |
| Authors Name: | Chiguru Ajaykumar Reddy , Annepaka Triveni , A.sowmya , Yedla sampath |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_202345
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| Published Paper Id: | IJRTI2504148 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | ABSTRACT: In today’s fast-changing job market, connecting skilled professionals with the right job opportunities has become a growing challenge. Job seekers often struggle to find roles that truly match their abilities, while companies face hurdles with inefficient and outdated hiring processes. WorkBridge addresses this gap with an AI-powered employment platform designed to simplify and optimize workforce management. The technology analyzes job needs, employer preferences, and worker talents to provide personalized employment matching using machine learning. The platforms efficiency is further increased by automated contract administration and real-time workforce availability tracking. While secure payment integration guarantees dependable and seamless transactions between employers and employees, a transparent rating and review system fosters trust. The technical underpinnings of work Bridge are examined in this article. These include React for providing an interactive frontend experience, Node.js with Express for creating scalable backend services, and PostgreSQL for storing structured data. To further enhance job placements, AI-powered analytics are also used to forecast trends in labor availability and demand. While Work Bridge presents a robust and scalable solution, challenges like system adoption and long-term scalability remain areas of focus. Further improvements such as incorporating blockchain for secure contracts and deeper AI insights for workforce analytics are also being considered. Ultimately, WorkBridge aims to transform the hiring process into a seamless, transparent, and intelligent experience that benefits both employers and job seekers. |
| Keywords: | KEYWORDS: AI-powered employment portal, intelligent job matching, workforce management, machine learning, real-time worker tracking, automated contracts, secure payments, fraud detection, PostgreSQL, Node.js, Express, React, job market analytics, blockchain integration, workforce analytics, scalable hiring solution. |
| Cite Article: | "WORKBRIDGE-AI DRIVEN EMPLOYMENT PORTAL FOR SKILLED PROFESSIONALS", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.b405-b411, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504148.pdf |
| Downloads: | 000307 |
| 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: IJRTI2504148
Registration ID:202345
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: b405-b411 Country: Hyderabad, Telangana, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504148 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504148 |
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ISSN: 2456-3315
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Journal Starting Year (ESTD) : 2016
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