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Design and Implementation of Job Recommendation Application ‘Jobs-3600’ for Job Seekers and Employers using Flutter

Journal: International Journal of Advanced engineering, Management and Science (Vol.8, No. 6)

Publication Date:

Authors : ;

Page : 06-13

Keywords : Job recommendation; Cross-platform Library; ADB; AVD; ML; Flutter;

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Top companies are recruiting people online and during and after covid, they work from home. Most of the recruiting companies select people by conducting online test and interviews. Likewise, job seekers also choose jobs online through online portals. Job recruitments nowadays become a very important and fundamental process for industries like Information Technology, Government, and private sectors. The web-based applications caused a substantial impact on the recruitment process. The implementation of online recruiting platforms has become a primary recruitment channel in most companies. While companies established job positions on these portals, job-seeker uses them to publish their profiles. Online recruitment platforms accomplished clear advantages for both employers and job-seekers by reducing the recruitment time and advertisement cost. There are certain recommendation systems available on the internet to support the users in searching for their requirements that match their preferences. A wide range of smart phone applications is popular to deal with all sorts of user's requirements. To improve the e-recruiting functionality, many job recommendation systems have been proposed. This paper analyzes and develop a job application process and related issues for building personalized recommendation systems for job-seekers by an application called ‘JOBS-3600.

Last modified: 2022-06-28 15:53:04