ResumeMatch: Intelligent Resume Enhancement & Job Fit Analysis

This research presents an AI-powered web system designed to streamline the job application process, particularly for fresh graduates struggling to tailor resumes to specific job descriptions. By integrating NLP models and external APIs, the system offers personalized recommendations, evaluates resume-job fit, suggests roles, generates tailored drafts, and recommends real-time job postings via the Adzuna API. Leveraging the all-MiniLM-L6-v2 sentence transformer for role recommendations and Google's Gemini for JD-specific resume enhancements, it dynamically aligns candidate profiles with job expectations, moving beyond traditional heuristic-based tools. Utilizing datasets from Kaggle and LinkedIn, this system aims to provide practical, real-time improvements, demonstrating AI’s potential to optimize job searches and enhance employment prospects.

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Publication Details

Published
2025-05-15
DOI
https://doi.org/10.38124/ijisrt/25may452
Primary Topic
Recommender Systems and Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

ResumeMatch: Intelligent Resume Enhancement & Job Fit Analysis

Karmesh Meritia, Vishal Ghosh, P. S. Thanigaivelu
Recommender Systems and Techniques
article

ResumeMatch: Intelligent Resume Enhancement & Job Fit Analysis

Karmesh Meritia, Vishal Ghosh, P. S. Thanigaivelu
article en

Abstract

This research presents an AI-powered web system designed to streamline the job application process, particularly for fresh graduates struggling to tailor resumes to specific job descriptions. By integrating NLP models and external APIs, the system offers personalized recommendations, evaluates resume-job fit, suggests roles, generates tailored drafts, and recommends real-time job postings via the Adzuna API. Leveraging the all-MiniLM-L6-v2 sentence transformer for role recommendations and Google's Gemini for JD-specific resume enhancements, it dynamically aligns candidate profiles with job expectations, moving beyond traditional heuristic-based tools. Utilizing datasets from Kaggle and LinkedIn, this system aims to provide practical, real-time improvements, demonstrating AI’s potential to optimize job searches and enhance employment prospects.

Openalex Percentile: Top 85%
Recommender Systems and Techniques
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