stdClass Object
(
    [id] => 15635
    [paper_index] => 202503-01-020753
    [title] => PREDICTING THE BIG FIVE PERSONALITIES THROUGH CV ANALYZER USING MACHINE LEARNING TECHNIQUES
    [description] => 
    [author] => Ms. Srinithi R, Mrs. P. Shanthi 
    [googlescholar] => 
    [doi] => 
    [year] => 2025
    [month] => April
    [volume] => 11
    [issue] => 4
    [file] => fm/jpanel/upload/2025/April/202503-01-020753.pdf
    [abstract] => The paper titled “Predicting the Big Five Personalities Through CV Analyzer Using Machine Learning Techniques” revolutionizes personality assessment by merging technology with practical utility. It enables users to upload resumes, which are analyzed using Natural Language Processing (NLP) to extract and analyze the key information. Feature Engineering refines this data for accurate personality trait predictions. Machine Learning models generate comprehensive reports detailing traits and suggesting personalized career paths. These insights are valuable for both individuals and recruiters, bridging the gap between resumes and meaningful outcomes. A statistical report summarizes analytical insights for broader applications. Overall, it demonstrates how NLP and ML drive career development and talent acquisition advancements. 
    [keywords] => 
    [doj] => 2025-04-16
    [hit] => 
    [status] => 
    [award_status] => P
    [orderr] => 66
    [journal_id] => 1
    [googlesearch_link] => 
    [edit_on] => 
    [is_status] => 1
    [journalname] => EPRA International Journal of Multidisciplinary Research (IJMR)
    [short_code] => IJMR
    [eissn] =>  2455-3662 (Online)
    [pissn] => - --
    [home_page_wrapper] => images/products_image/11.IJMR.png
)
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