Smart Resume Scoring & Recommendations

A well-structured and optimized resume plays a crucial role in today’s competitive job market.Smart Resume Scoring & Recommendations is an AI-powered system designed to assist job seekers byevaluating resumes, providing insights, and suggesting improvements. This system combines resumeanalysis, Power BI visualization, and an intelligent resume builder to help users create high-qualityresumes tailored to industry standards. The system utilizes machine learning (ML) and natural languageprocessing (NLP) to assess resumes based on key parameters, offering structured scoring and detailedfeedback. A major feature is its interactive Power BI visualization, which presents resume strengths andareas for improvement through data-driven analytics. Additionally, it provides personalized courserecommendations and career tips, allowing users to enhance their skills and improve their employability.By automating resume evaluation, this system reduces the limitations of manual assessments and enhancesefficiency. Beyond resume optimization, the platform serves as a comprehensive career development tool,equipping individuals with the insights needed for professional growth.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-24
DOI
https://doi.org/10.5281/zenodo.15277389
Primary Topic
Recommender Systems and Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Smart Resume Scoring & Recommendations

Zenodo (CERN European Organization for Nuclear Research)
Recommender Systems and Techniques
article

Smart Resume Scoring & Recommendations

article en

Abstract

A well-structured and optimized resume plays a crucial role in today’s competitive job market.Smart Resume Scoring & Recommendations is an AI-powered system designed to assist job seekers byevaluating resumes, providing insights, and suggesting improvements. This system combines resumeanalysis, Power BI visualization, and an intelligent resume builder to help users create high-qualityresumes tailored to industry standards. The system utilizes machine learning (ML) and natural languageprocessing (NLP) to assess resumes based on key parameters, offering structured scoring and detailedfeedback. A major feature is its interactive Power BI visualization, which presents resume strengths andareas for improvement through data-driven analytics. Additionally, it provides personalized courserecommendations and career tips, allowing users to enhance their skills and improve their employability.By automating resume evaluation, this system reduces the limitations of manual assessments and enhancesefficiency. Beyond resume optimization, the platform serves as a comprehensive career development tool,equipping individuals with the insights needed for professional growth.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 40%
Recommender Systems and Techniques
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Smart Resume Scoring & Recommendations · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS