Smart Resume Builder and Evaluation System

Today’s fast paced hiring environment needs effective tools for sorting and managing resumes. This project introduces the “Smart Resume Builder and Evaluation System,” an automated platform that makes it easier for candidates to create and improve their resumes while helping recruiters quickly identify top candidates. Candidates can build and download professional resumes directly through the platform, which then uses rule based Natural Language Processing (NLP) to evaluate the resume based on specific criteria. Each resume receives a score and helpful suggestions for improvement, giving candidates a way to strengthen their applications. For recruiters, the system automatically highlights the top five resumes, making it easier to find qualified candidates efficiently. Overall, this project aims to streamline the hiring process, saving time for both candidates and recruiters and helping match the right candidates to the right jobs.

Authors

Publication Details

Published
2024-11-23
DOI
https://doi.org/10.59544/pcqk9002/icrcct24p47
Primary Topic
Recommender Systems and Techniques
Type
article
Field-Weighted Citation Impact
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article

Smart Resume Builder and Evaluation System

JayaKumari JK, Raman Kishore K, Sandeep Sai Kumar K I, Madhaneshwaran MS et al.
Recommender Systems and Techniques
article

Smart Resume Builder and Evaluation System

JayaKumari JK, Raman Kishore K, Sandeep Sai Kumar K I, Madhaneshwaran MS, Nandha Kumar T
article en

Abstract

Today’s fast paced hiring environment needs effective tools for sorting and managing resumes. This project introduces the “Smart Resume Builder and Evaluation System,” an automated platform that makes it easier for candidates to create and improve their resumes while helping recruiters quickly identify top candidates. Candidates can build and download professional resumes directly through the platform, which then uses rule based Natural Language Processing (NLP) to evaluate the resume based on specific criteria. Each resume receives a score and helpful suggestions for improvement, giving candidates a way to strengthen their applications. For recruiters, the system automatically highlights the top five resumes, making it easier to find qualified candidates efficiently. Overall, this project aims to streamline the hiring process, saving time for both candidates and recruiters and helping match the right candidates to the right jobs.

Decent work and economic growth
Openalex Percentile: Top 67%
Recommender Systems and Techniques
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