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International Journal of Computational Science and Engineering Research
Volume 1, Issue 4 (October-December)
Article type: Original Article
Published: 22 September 2026 |Pages: 1 - 5 |ISSN: 3107 - 8605
https://doi.org/10.63328/IJCSER-V1RI4P1
Copyright © 2024 D Sreenivasulu Reddy et al.
International Journal of Computational Science and Engineering Research
Open Access publication.

Android-Based Intelligent Job Search and Recruitment System

D Sreenivasulu ReddyiD1, S TouheediD2, K Rohith Kumar ReddyiD3, C Naveen KumariD4, and B VikasiD5

Abstract

The job selection process can be troubling for employees in today's global economy. It involves searching through newspapers, job websites, and human agents for employment opportunities. However, there is often no feedback from employers on the criteria submitted by employees. To address this, we propose the creation of intelligent agents to interact with employers and job search coordinators. These agents will use fuzzy preference rules to make decisions. The agents will also collect feedback from past and current employees to rate employers. The system will use Android 2.2, JADE- LEAP, and the Google API to provide a robust and user-friendly solution.

Keywords: Java Agent Development Environment, Lightweight Agent Platform, UML

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How to cite this article

D Sreenivasulu Reddy , S Touheed , K Rohith Kumar Reddy , C Naveen Kumar, B Vikas , “Android-Based Intelligent Job Search and Recruitment System“, International Journal of Computational Sciences and Engineering Research (IJCSER) , Volume 1, Issue 4 , pp 1-4 , October 2024. CrossRef DOI: https://doi.org/10.63328/ijcser-v1ri4p1