Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Vol 9 No 11 (2025): Volume 9, Issue 11, November 2025 | Pages: 444-448
International Research Journal of Innovations in Engineering and Technology
OPEN ACCESS | Research Article | Published Date: 01-12-2025
The proposed College Placement System has been conceived as a comprehensive technological intervention designed to streamline, automate, and centralize the myriad processes involved in the campus placement lifecycle, a domain traditionally fraught with inefficiencies arising from manually maintained records and fragmented communications across stakeholders. By systematically digitizing student registrations, company job postings, application tracking and status communications, the system aspires to bring unprecedented transparency, accessibility, and reliability to placement activities in higher education environments. Constructed using the Django web framework and designed to support modular extension, this system integrates multiple user roles including students, placement cell administrators, and institutional management permitting each to access role-appropriate resources, analytics dashboards, and document management modules. Special emphasis has been placed on data security, audit ability, and responsiveness of the application, thereby ensuring that critical placement events and deadlines are consistently met, institutional reporting standards are upheld, and student outcomes are improved as a consequence of enhanced preparedness and real-time access to career opportunities. The end product, in facilitating seamless interactions between students and recruiters, and providing actionable insight to administrators, sets a benchmark for the digital transformation of academic placement ecosystems while also laying the groundwork for future integrations involving AI-based eligibility screening, document verification, and predictive analytics in student recruitment.
College Placement, Placement Portal, Student Registration, Django, Application Tracking, Resume Upload, Company Profile, Eligibility Filtering, Automated Shortlisting, Career Management, Machine Learning Integration, SVM, Data Analytics, Web-Based System, Recruitment Automation
Omraj Ubale, Chaitrali Dhiwar, Sakshi Kharat, Mrunali Nangare, Prof. Priya Borkar, & Prof. Nita Pawar. (2025). College Placement System. International Research Journal of Innovations in Engineering and Technology - IRJIET, 9(11), 444-448. Article DOI https://doi.org/10.47001/IRJIET/2025.911049
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