Intelligent Placement Management System: An AI-Driven Platform for Campus Placement Automation and Assessment

Campus placement coordination has long been acknowl-edged as administratively heavy and operationally fragile in Indian engineering colleges, yet comprehensive software solu-tions for it remain scarce. The dominant approach—layering a test portal on top of a spreadsheet on top of email—creates friction at every boundary and leaves coordinators and students without a unified picture of the placement process. IPMS was built to replace that patchwork with a single, inte-grated platform. The evaluation conducted at Malnad College of Engineering demonstrated that the core modules function as intended under realistic conditions: eligibility verification was fully accurate across the test dataset, OCR extraction handled the majority of document quality levels encountered in practice, anti-cheating detection logged all triggered violations without generating false positives, and feedback from both coordinators and students confirmed that the platform reduced administrative overhead in practical, measurable ways. There are aspects of the system that remain to be strengthened—adaptive question delivery, semantic profile matching, and recruiter-side tooling represent the clearest op-portunities for subsequent development. However, the founda-tional architecture was deliberately designed to accommodate such extensions without requiring structural changes. More broadly, the project demonstrates that building a genuinely integrated placement platform—rather than assembling discon-nected best-of-breed tools—is not only technically achievable but operationally valuable enough to justify the effort.

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