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PlaceReady: An Intelligent AI System for Placement Skill Development
Subject area: Science,Engineering and Technology · Area of research: Artificial Intelligence
DOI: 10.64388/IREV9I10-1716851
Abstract
PlaceReady is an intelligent AI-based platform designed to enhance campus placement preparation for students. The system integrates aptitude training, group discussion simulation, and mock interview practice into a single unified environment. Based on the selected job role, the system dynamically generates relevant questions and interview scenarios that reflect real recruitment processes. Natural Language Processing (NLP) techniques are used to analyze user responses and provide automated feedback to improve communication, problem-solving ability, and technical knowledge. The proposed system offers personalized training, reduces dependency on manual evaluation, and improves the overall readiness of students for campus placements.
Keywords
Artificial Intelligence, Placement Training, NLP, Mock Interview System, Skill Development
References
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How to cite this paper
@article{1716851,
author = {D. V. Rajkumar, Akash V., Anishkumar R., Gokul S.},
title = {PlaceReady: An Intelligent AI System for Placement Skill Development},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {10},
pages = {2815-2820},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1716851.pdf},
abstract = {PlaceReady is an intelligent AI-based platform designed to enhance campus placement preparation for students. The system integrates aptitude training, group discussion simulation, and mock interview practice into a single unified environment. Based on the selected job role, the system dynamically generates relevant questions and interview scenarios that reflect real recruitment processes. Natural Language Processing (NLP) techniques are used to analyze user responses and provide automated feedback to improve communication, problem-solving ability, and technical knowledge. The proposed system offers personalized training, reduces dependency on manual evaluation, and improves the overall readiness of students for campus placements.},
keywords = {Artificial Intelligence, Placement Training, NLP, Mock Interview System, Skill Development},
month = {April},
doi = {https://doi.org/10.64388/IREV9I10-1716851}
}