International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Automated Resume Scoring and Course Recommendation

Author(s) Yash Deshpande, Pratik patil, Abhishek Hole, Anirudha Kale, Manisha Mali
Country India
Abstract The AI-powered Automated Resume Scoring and Course Recommendation system analyzes resumes and makes suggestions for improvement. The system, which uses machine learning algorithms to detect areas that require improvement, assists job seekers in crafting resumes that can successfully navigate the screening procedures of job interviews. In addition to analyzing the layout, language, and spelling to make sure industry standards are fulfilled, the system uses methods like natural language processing, text mining, and sentiment analysis to collect insights from the candidate's achievements, education, experience, and abilities. To close skill gaps, the algorithm might suggest appropriate courses or certifications in addition to resume analysis. This technique helps both recruiters and job seekers: recruiters can identify the best applicants, which promotes the hiring process, while job seekers may improve their resumes to better match job requirements, enhancing their chances of obtaining interviews.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-11-27
Cite This Automated Resume Scoring and Course Recommendation - Yash Deshpande, Pratik patil, Abhishek Hole, Anirudha Kale, Manisha Mali - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.29890
DOI https://doi.org/10.36948/ijfmr.2024.v06i06.29890
Short DOI https://doi.org/g8sdgf
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