Artificial Intelligence in Face Verification of Applicant’s Resume

Chow, Andy Sai Kit (2022) Artificial Intelligence in Face Verification of Applicant’s Resume. Final Year Project (Bachelor), Tunku Abdul Rahman University College.

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Abstract

For job seekers, an interview is an inevitable process in getting a job, especially in well-established corporations. Innumerable resumes are received everyday which makes going through all of them near impossible. Validation of the information provided in the resumes and the verification of the identity of the job applicant are required to be done to confirm its authenticity and credibility. Performing the validation and verification process is both tedious and also time-consuming to say the least, it also yields room for a higher margin of error as human workers have the tendency to commit more mistakes than robots. Therefore, our proposed project aims to save the resumes’ details in a digital form which is undoubtedly more secure than physical documents and files and also to hand over the monotonous process of verification and validation to artificial intelligence. The project has a feature to automatically extract important information from the resumes to save the interviewers’ time in going through each one of them thoroughly. As many of the resumes nowadays are in soft copy, a problem arises where there is a possibility that the picture in the resume is not uploaded by the owner. However, our project has a feature to counter the problem which is to implement face verification using the AI algorithm of InsightFace. The AI will compare the picture in the resume with the picture of the interviewee taken during the interview. The interviewer passes the verification process if the two faces are deemed identical and vice versa. For the conclusion of the project, we will be utilising flask to package the codes into API, and then make use of the i2 hub in TARUC to deploy the project.