AI for Career Growth: Advanced Resume Analysis and LinkedIn Scraping for Personalized Job Recommendations

In today’s dynamic job market, individuals seeking career advancement face the challenge of efficiently navigating through vast amounts of information to identify suitable job opportunities. To address this challenge, we present an innovative approach leveraging artificial intelligence (AI) technologies for career growth. Our system combines advanced resume analysis techniques with LinkedIn scraping capabilities to provide personalized job recommendations tailored to individual skillsets and career aspirations. The system uses an AI-powered resume analyser and Selenium based web scraping to extract key information from resumes. It uses natural language processing to identify strengths, weaknesses, qualifications, experience, and achievements, and Google Gemini AI Model to generate personalized job title recommendations. The system also extracts job listings from LinkedIn, enhancing the job search process. Experiments show the system improves efficiency and accuracy, enabling individuals to make informed career decisions and accelerate professional growth.

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Publication Details

Published
2024-10-23
DOI
https://doi.org/10.1109/icssas64001.2024.10760972
Citations
2
Primary Topic
Recommender Systems and Techniques
Type
article
Field-Weighted Citation Impact
1.56
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article

AI for Career Growth: Advanced Resume Analysis and LinkedIn Scraping for Personalized Job Recommendations

Chandrasekharan Raman, Pathipati Srihari, Kanak Kumar
2 citations
Recommender Systems and Techniques
1.56
article

AI for Career Growth: Advanced Resume Analysis and LinkedIn Scraping for Personalized Job Recommendations

Chandrasekharan Raman, Pathipati Srihari, Kanak Kumar
article en
2 citations

Abstract

In today’s dynamic job market, individuals seeking career advancement face the challenge of efficiently navigating through vast amounts of information to identify suitable job opportunities. To address this challenge, we present an innovative approach leveraging artificial intelligence (AI) technologies for career growth. Our system combines advanced resume analysis techniques with LinkedIn scraping capabilities to provide personalized job recommendations tailored to individual skillsets and career aspirations. The system uses an AI-powered resume analyser and Selenium based web scraping to extract key information from resumes. It uses natural language processing to identify strengths, weaknesses, qualifications, experience, and achievements, and Google Gemini AI Model to generate personalized job title recommendations. The system also extracts job listings from LinkedIn, enhancing the job search process. Experiments show the system improves efficiency and accuracy, enabling individuals to make informed career decisions and accelerate professional growth.

St. Joseph's Institute of Technology (IN)
Decent work and economic growth
Openalex Percentile: Top 11%
Recommender Systems and Techniques
1.56
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