International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 2 (March-April 2026) Submit your research before last 3 days of April to publish your research paper in the issue of March-April.

Amazon Web Services Based Candidate Picker System

Author(s) Ms. Leya R. K, Ms. Rinsha Nasrin K.A, Mr. Senthilkumar M
Country India
Abstract Recruitment industry is no exception, where complexity is involved with the increasing number of candidates and recruiters, and traditional internet-based recruitment systems have their limitations, such as low scalability, slow response time, and inefficient selection mechanisms. In this context, this manuscript aims to design an efficient recruitment system using cloud computing technologies provided by Amazon Web Services (AWS). The system will allow recruiters and candidates to interact in a direct manner, eliminating intermediaries in the recruitment industry. The system is built with the Python programming language, using the Django framework, and MySQL as the backend database. The system will use AWS services for improving the speed, scalability, and reliability of the recruitment system, and experimental results have validated its efficiency.
Keywords Amazon Web Services, Cloud Computing, Recruitment System, Candidate Selection, Web Application, Database Management
Field Computer > Data / Information
Published In Volume 8, Issue 1, January-February 2026
Published On 2026-02-26

Share this