CV Cleaner: Technical Report

Lougheed, Barry (2018) CV Cleaner: Technical Report. Undergraduate thesis, Dublin, National College of Ireland.

Preview

PDF (Bachelor of Science) Download (1MB) | Preview

Abstract

This purpose of this report is to provide the reader with a comprehensive understanding of the design and development of CV Cleaner. The report contains an in-depth analysis and evaluation of the project. This includes the project concept, aims, and results. CV Cleaner is an innovative concept, with a unique algorithm that is based on a statistical analysis. CV Cleaner is a recruitment processing application used to improve an organization’s time and cost management. Furthermore, computer science students can use CV Cleaner’s complex algorithm to enhance the quality of their CV (Curriculum Vitae). The web application filters CVs through a weighted scoring algorithm, therefore enhancing an organization’s time and cost management. A recruiter can upload multiple CVs to the system, which will grade the CVs for them. This is achieved by multiple techniques, including industry analysis, spelling error detection, and content analysis. The application showcases the project’s potential for commercial success, as the project concept targets multiple audiences. This is further supported by the lack of competitive organizations in this market. The application provides the user with a slick front end, and the operations are seamless due to the well-coded API.

The algorithms are based on a complex statistical analysis, carried out on two datasets. The datasets contain CVs from software development students. These CVs are further sub-categorized by CVs that warranted responses from companies, i.e. obtaining an interview, versus CV’s that did not warrant a response. With the use of machine learning, there are clear distinctions found between the datasets. This has allowed me to create algorithms that achieve the objectives of this tool.

Item Type:	Thesis (Undergraduate)
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QA Mathematics > Computer software T Technology > T Technology (General) > Information Technology > Computer software H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management > Human Resource Management > Recruitment > E-Recruitment H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management > Human Resource Management
Divisions:	School of Computing > Bachelor of Science (Honours) in Computing
Depositing User:	Caoimhe Ní Mhaicín
Date Deposited:	07 Nov 2018 11:03
Last Modified:	07 Nov 2018 11:03
URI:	https://norma.ncirl.ie/id/eprint/3473

Actions (login required)

View Item