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Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Vol 10 No 5 (2026): Volume 10, Issue 5, May 2026 | Pages: 405-412
International Research Journal of Innovations in Engineering and Technology
OPEN ACCESS | Research Article | Published Date: 20-05-2026
Campus placement may be viewed as one of the crucial steps in the life of engineering graduates, but unfortunately, the placement strategy followed by most universities today is administrative rather than intelligent. In this work, we present a Smart Placement Intelligent System (SPIS), which is a novel AI-driven solution developed using the state-of-the-art MERN stack (MongoDB, Express.js, React.js and Node.js) development platform.
The SPIS includes several components such as the PRS engine, NLP driven ATS Resume Analyzer, Skill Gap ID module, AI Roadmap Generator, Real Time Leaderboard with Peer Velocity Index (PVI), Collaboration Feed, and the Smart Job Portal with eligibility enforcement along with the SuperAdmin Dashboard. Experiments were conducted on our platform using the dataset including details about 3,500 students, and we observed that the prediction model used by us in terms of an ensemble learning technique has an accuracy above 90% and performs better than some of the conventional machine learning techniques. In addition to these experiments, we conducted user tests to prove the effectiveness of our proposed system.
MERN stack; PRS engine; ATS resume analyser; skill gap identification; AI roadmap generator; peer velocity index.
Anita Puri, Aniket Gajbhiye, Mohit Lakhe, Prajwal Kotangale, Swarup Ambatkar, & Siyan Khan. (2026). Smart Placement Intelligent System Using AI-Powered Analytic for Campus Placements. International Research Journal of Innovations in Engineering and Technology - IRJIET, 10(5), 405-412. Article DOI https://doi.org/10.47001/IRJIET/2026.105055
This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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