CareerPulse AI: Next-Gen AI Resume Optimizer and Career Guidance System

The growing dependence on digital platforms for job applications has exposed major limitations in traditional resume builders and career tools, which largely rely on static keyword-matching and fail to deliver personalised guidance. This study introduces the Next-Gen AI Resume Optimiser and Career Guidance System, developed to intelligently parse resumes, detect skill gaps, and offer actionable feedback for professional growth. The system employs a Retrieval- Augmented Generation (RAG) architecture using Google's Gemini 1.5 Flash model integrated with ChromaDB, ena- bling dynamic evaluation and contextual recommendations. It automates resume screening, assigns ATS-based rele- vance scores, and matches users to suitable job roles based on their skills, goals, and geographic context. Furthermore, the platform incorporates a multilingual chatbot for interactive career guidance, enabling users to receive real-time support on skill development and market alignment. Results demonstrate that this integrated approach improves re- sume visibility in Applicant Tracking Systems and enhances user readiness for evolving job markets.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-07
DOI
https://doi.org/10.5281/zenodo.16655525
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

CareerPulse AI: Next-Gen AI Resume Optimizer and Career Guidance System

Zenodo (CERN European Organization for Nuclear Research)
AI in Service Interactions
article

CareerPulse AI: Next-Gen AI Resume Optimizer and Career Guidance System

article en

Abstract

The growing dependence on digital platforms for job applications has exposed major limitations in traditional resume builders and career tools, which largely rely on static keyword-matching and fail to deliver personalised guidance. This study introduces the Next-Gen AI Resume Optimiser and Career Guidance System, developed to intelligently parse resumes, detect skill gaps, and offer actionable feedback for professional growth. The system employs a Retrieval- Augmented Generation (RAG) architecture using Google's Gemini 1.5 Flash model integrated with ChromaDB, ena- bling dynamic evaluation and contextual recommendations. It automates resume screening, assigns ATS-based rele- vance scores, and matches users to suitable job roles based on their skills, goals, and geographic context. Furthermore, the platform incorporates a multilingual chatbot for interactive career guidance, enabling users to receive real-time support on skill development and market alignment. Results demonstrate that this integrated approach improves re- sume visibility in Applicant Tracking Systems and enhances user readiness for evolving job markets.

Zenodo (CERN European Organization for Nuclear Research)
Visvesvaraya Technological University (IN)
Openalex Percentile: Top 74%
AI in Service Interactions
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