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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) |
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| Paper Title: | Enhancing Career Readiness: A Machine Learning Approach to Resume Optimization |
| Authors Name: | Chanchal Wadhwa , Palash Wani , Tejas Ambekar , Balaji Vaste , Hrushikesh Joshi |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_215395
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| Published Paper Id: | IJNRD2403508 |
| Published In: | Volume 9 Issue 3, March-2024 |
| DOI: | |
| Abstract: | 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 |
| Downloads: | 00047 |
| 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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Published Paper ID:IJNRD2403508 Registration ID: 215395 Published In: Volume 9 Issue 3, March-2024 DOI (Digital Object Identifier): Page No: f68-f72 Country: Pune, Maharashtra, India Research Area: Information Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2403508 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2403508 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
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