http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/1693 Thu, 09 Apr 2026 08:37:03 GMT 2026-04-09T08:37:03Z http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/1757 Title: Automatic Extraction of Segments from Resumes Using Machine Learning Authors: Gunaseelan, B; Mandal, Supriya; Rajagopalan, V Abstract: Online recruitment systems or automatic resume processing systems are becoming more popular because it saves time for both employers and job seekers. Manually processing these resumes and fitting to several job specifications is a difficult task. Due to the increased amount of data, it is a big challenge to effectively analyze each resume based on various parameters like experience, skill set, etc. Processing, extracting information and reviewing these applications automatically would save time and money. Automatic data extraction, focused primarily on skillset, experience and education from a resume. So, it extremely helpful to map the appropriate resume for the right job description. In this research study, we propose a system that uses multi-level classification techniques to automatically extract detailed segment information like skillset, experience and education from resume based on specific parameters. We have achieved state-of-the-art accuracy in the segment of the resumes to identify skill sets Mon, 22 Mar 2021 00:00:00 GMT http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/1757 2021-03-22T00:00:00Z http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/1756 Title: Resume writing Authors: Ruth, Dolenga Mon, 22 Mar 2021 00:00:00 GMT http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/1756 2021-03-22T00:00:00Z http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/1755 Title: Resume Writing in the Digital Age Authors: Caleb, Frankel Abstract: When it comes time to write the résumé, there are 3 keys: no rules, design matters, and personalize a version for each job. Sun, 01 May 2016 00:00:00 GMT http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/1755 2016-05-01T00:00:00Z http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/1754 Title: Resume Scanning and Emotion Recognition System based on Machine Learning Algorithms Authors: Vishruth, R G; Sunitha, R; Varuna, K S; Varshini, N; Honnavalli, Prasad B Abstract: In the current smart world, everything should be done faster, smarter, and accurate way. The various organization’s recruitment processes will be done face to face in an arranged venue. But, during some pandemics like Covid-19 face to face recruitment process will be very difficult. In the proposed system, a smarter way of performing the recruitment processes anywhere around the world based on the company requirements is performed. The aim of this article deals with making the process of candidate recruitment easier for companies. The amount of manual work that goes into recruiting processes is reduced and the initial scanning process of candidates was performed. By eliminating the redundant candidates helps in retaining only the applicable ones. Achieve this through the help of resume scanning, initial aptitude testing of candidates, and an interview session where the candidate answers questions asked by the interviewer. With this model, all the time and manual labor that is wasted in eliminating the redundant candidates is accomplished. It chooses the one who is best applicable to a job by comparing it with the job description based on the resumes received. Our model is working accurately for some of the predefined parameters of the company in a recruitment process by providing more security and reliability Mon, 22 Mar 2021 00:00:00 GMT http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/1754 2021-03-22T00:00:00Z