Hierarchical Data Storage Model Representation in MongoDB for a Resume Ranking Application

Sahil Kumar Gupta, Raushan kumar Gupta, Ishwor Acharya, Mohit Kumar Rauniyar, Divya KV · 2024

Introducing an innovative resume ranking website, representing Hierarchical Data Storage in MongoDB. By allowing candidates to fill out job-specific forms, the project assess their skills against customized criteria set by each company. Each skill criteria is stored in MongoDB in parent-child node formation making it easy for retrieval with minimum time complexity. Utilizing a point-based system, primary, secondary, and least priority skills are prioritized tailored to the requirements of each job opening. The goal is to make candidate selection, ensuring that the most qualified individuals rise to the top, facilitating efficient and effective hiring decisions for businesses.

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