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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Paperback. Condition: new. Paperback. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9786209444074
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9786209444074
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Paperback. Condition: new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9786209444074
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Taschenbuch. Condition: Neu. Modern E-Recruitment System Using MERN | A Scalable Hybrid Recruitment Platform | Swati Choudhary (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209444074 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Seller Inventory # 135312350
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