Automated Resume Scoring and Course Recommendation
Year: 2024
Type: article
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.
Authors: Yash Deshpande -, Pratik patil -, Abhishek Hole -, Anirudha Kale -, Manisha Mali -
Language: English
Topic: AI and HR Technologies
Domain: Social Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4404865869