What does this research mean for the field?

An integrated Generative AI-based placement management system combining NLP, semantic embeddings, and large language models can effectively support end-to-end campus recruitment workflows, including resume analysis, candidate-job matching, and interview preparation. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To develop and evaluate an end-to-end campus recruitment management platform that leverages generative artificial intelligence and natural language processing to assist students, recruiters, and placement officers.

September 5, 2026Open Access

Generative AI-Based Placement Management System: An Intelligent End-to-End Platform for Campus Recruitment

View Full Paper

Ask AI

Bookmark

To develop and evaluate an end-to-end campus recruitment management platform that leverages generative artificial intelligence and natural language processing to assist students, recruiters, and placement officers.
Engineered a multi-role web platform using a MERN architecture alongside PostgreSQL, Hugging Face NLP components, Groq/Llama-family large language models, and BM25 ranking coupled with cosine similarity over semantic embeddings.
Built end-to-end student and recruiter workflows covering automated resume information extraction, job recommendation, real-time communication via Socket.io, and interview preparation.
Assessed system functionality via parser unit tests, load and concurrent-user testing, end-to-end integration assessments, and pilot placement workflows.
Demonstrated functional feasibility of automated resume parsing, candidate-job matching, and role-based tracking under simulated concurrent-user and load testing conditions.
Maintained a human-in-the-loop operational framework where generative AI recommendations augment recruiter decision-making while addressing limitations in model explainability, privacy, and data scalability.

Discussion

No takes yet. Share an insight, caveat, or question.

Implication

Prototype evaluation demonstrates an end-to-end generative AI recruitment platform for university placement workflows, indicating enhanced resume parsing and candidate matching with human oversight.

Cite This Study

VALLURI et al. (2026) studied this question.

synapsesocial.com/papers/6a9bd49d6b95aff0620ec6f2 https://doi.org/10.5281/zenodo.22283925

View Full Paper

Ask AI

Bookmark

Implication

Prototype evaluation demonstrates an end-to-end generative AI recruitment platform for university placement workflows, indicating enhanced resume parsing and candidate matching with human oversight.

Generative AI-Based Placement Management System: An Intelligent End-to-End Platform for Campus Recruitment

Key Points

Discussion

Implication

Cite This Study

Generative AI-Based Placement Management System: An Intelligent End-to-End Platform for Campus Recruitment

Key Points

Discussion

Implication

Cite This Study

Also Consider

Also Consider