Job connect: A centralized Solution for Multi-platform Job Search

Abstract

The digital recruitment landscape has evolved rapidly, yet it remains fragmented across multiple platforms such as LinkedIn, Naukri, Google Careers, and Indeed. Each platform maintains its own data structure, authentication method, and categorization framework, creating inefficiencies and limited interoperability for both job seekers and recruiters. This paper reviews the design and development of JobConnect: A Centralized Multi-Platform Job Search and Career Management System, an academic and lightweight HR-Tech framework that unifies fragmented employment data while maintaining educational accessibility. JobConnect integrates multiindustry
job listings, standardizes salaries in USD, and provides analytics dashboards for career insights across technology, healthcare, finance, automotive, and e-commerce sectors. Built on Node.js, React, and SQLite, it ensures offline capability and zero-configuration deployment, making it suitable for institutional use. Comparative analysis with existing systems demonstrates improved data consistency, faster response times (<500 ms), and enhanced accessibility. By combining technical innovation with academic deployability, Job Connect bridges the gap between commercial recruitment platforms and educational environments, enabling inclusive and research driven employment technology development