Enhancing Recruitment Efficiency: A Proposal for an Automated Resume Screening and Job Suggestion System on the ‘Dreams Job’ Online Platform

DOI

10.2991/978-94-6463-471-6_30How to use a DOI?

Keywords

Resumes; Recruiters; Job Opportunities; Resume Screening; Online job site; Skillset; Employers

Abstract

Both candidates and recruiters now face difficulties and uncertainty due to the growing volume and complexity of information in resumes. As they may showcase their abilities and qualities to prospective companies, resumes are vital for recruiters and students seeking employment prospects. Numerous professions are produced because of the advancement of technology, and new trends are introduced into the market daily. Before applying for a job, a candidate must know which roles are compatible with them. It can be challenging to manually determine whether a resume is a good fit for a certain job role based on reading the job description and the resume. Therefore, to solve existing issues and offer a practical platform that benefits companies and job seekers alike, it is suggested to create an online job site called “Dreams Job” with automated resume screening and a job suggestion system. Job searchers can register, apply for employment, and use advanced search features to identify positions and occupations that fit them through an online application. The application allows candidates to upload their resumes, which are saved for further use. Based on their credentials and skill set, candidates are matched with relevant opportunities by the portal's unique job suggestion algorithm. Employers can also manage and post jobs, and they can take advantage of a smooth application review procedure. The administrator manages user profiles and selects which jobs and firms are allowed to access or display on the site. Anywhere in the world, both Employers and Candidates can utilize the program without any geographical restrictions.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Veeramreddy Jyothsna
AU  - Kalluru Rohini
AU  - J. V. Harshitha
AU  - B. Divya Krupa
AU  - K. Mohith Varma
AU  - D. Yeswanth Kumar
PY  - 2024
DA  - 2024/07/30
TI  - Enhancing Recruitment Efficiency: A Proposal for an Automated Resume Screening and Job Suggestion System on the ‘Dreams Job’ Online Platform
BT  - Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
PB  - Atlantis Press
SP  - 303
EP  - 313
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-471-6_30
DO  - 10.2991/978-94-6463-471-6_30
ID  - Jyothsna2024
ER  -