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The recruitment ecosystem has undergone significant evolution in recent years, driven by the increasing demand for remote hiring, digital profiles, and scalable talent hiring processes. Traditional recruitment methods are time-consuming, inefficient and lack of personalization among recruiters and job seekers. To address these limitations, this thesis presents the design and development of a hybrid e-recruitment drive system utilizing the MERN architecture, comprising MongoDB, Express JS, React JS, and Node JS. This system provides a unified interface for both Candidates (Job Seekers) and Recruiters (Employers), offering personalized dashboards, profile creation (showcasing portfolios), job posting, application tracking, an intelligent auto job matching system, ATS-friendly resume builders, and many interactive features.
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