CV Finder: Intelligent Recruitment tool
| dc.contributor.author | Ayat Dardouk | |
| dc.contributor.author | Kinana Abueideh | |
| dc.date.accessioned | 2025-02-05T08:13:10Z | |
| dc.date.available | 2025-02-05T08:13:10Z | |
| dc.date.issued | 2025-02-02 | |
| dc.description.abstract | Abstract This project is a website platform to assist companies in simplifying the process of job hiring. The website allows companies to post job openings quickly with detailed job descriptions and required skills. The main function is to intelligently review the CVs of applicants with respect to the job requirements. Using natural language processing coupled with keyword matching, the platform finds a "similarity ratio" for each applicant, showing how well they fit the job. It helps companies easily rank and prioritize applicants based on their qualifications, saving a lot of time and effort in the first screening stage. The platform leverages advanced technologies like Natural Language Processing (NLP) and machine learning to intelligently extract information from CVs and compute match scores with job requirements. The implementation includes custom algorithms for PDF text extraction, model training using scikit-learn, and integration with APIs for automation and email notifications. Moreover, the system includes email services that allow companies to send emails to shortlisted candidates with invitations for interviews or additional instructions. This documentation describes our graduation project in seven chapters: • Chapter One, Abstract. • Chapter two Acknowledgment • Chapter Three you will find a brief introduction to the project • Chapter Four discusses the application methodology, the main work done in developing the application • Chapter Five, you will find a detailed description of the provided services, the software, and the APIs used in the project. • Chapter Six the Conclusion • Chapter Seven the future work will be found at the end of the document. | |
| dc.identifier.uri | https://hdl.handle.net/20.500.11888/19884 | |
| dc.language.iso | en | |
| dc.supervisor | Dr. May Abu Sair | |
| dc.title | CV Finder: Intelligent Recruitment tool | |
| dc.type | Graduation Project |
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