Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
In today’s competitive job market, online recruitment systems play an important role in connecting employers and job seekers efficiently. This project presents the design and implementation of a Job Portal Web-Based Application using Python and Django framework. The system provides separate login modules for Admin and HR, allowing secure management of job postings, applicants, and company information. Admin manages overall system control, while HR can post jobs and review applications. The application reduces manual recruitment work and improves the hiring process by providing a centralized digital platform. The system is suitable for diploma-level academic projects.
Keywords:
Job Portal, Web Application, Django, Admin Login, HR Login, Recruitment System
Cite Article:
"JOB PORTAL WEB-BASED APPLICATION USING PYTHON AND DJANGO", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.11, Issue 1, page no.b20-b23, January-2026, Available :http://www.ijrti.org/papers/IJRTI2601104.pdf
Downloads:
00099
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator