INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
In an ever-evolving employment landscape, people often stumble upon bold hurdles in tailoring resumes to precisely
align with task prerequisites. This research endeavours to present an automatic framework for resume categorization and alignment with special process specifications. This framework harnesses superior techniques such as Cosine Similarity, Jaccard Index, textual divergence metrics, and sophisticated herbal language processing methodologies for harmonizing resumes with task delineations. furthermore, it consists of a numerous array of gadget studying paradigms including help Vector Classifier, Random forest Classifier, amongst others, to appropriately categorize resumes. The requisite data for education these gadget learning fashions is pretty sensitive due to the scarcity of complete skill set statistics pertinent to specific process roles. to bypass this assignment, the proposed machine advocates for actual time information acquisition thru scraping LinkedIn profiles. subsequently, leveraging this records, the machine learning model undergoes meticulous training, observed through a meticulous comparative assessment of numerous algorithms based totally on metrics such as accuracy, precision, and don’t forget, F1 score.
Keywords:
Resume screening, Machine learning, Hiring, Real time data, Support Vector Classifier, K-Nearest Neighbour, Natural Language Processing, Cosine similarity, Jaccard Index
Cite Article:
"Enhancing Career Readiness: A Machine Learning Approach to Resume Optimization", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 3, page no.f68-f72, March-2024, Available :http://www.ijnrd.org/papers/IJNRD2403508.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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