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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM68355
Volume:
10 |
10 |
Oct 2026
Pages:
1-4
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Department of Information Technology(IT)
Genba Sopanrao Moze College of Engineering,Balewadi,pune:411045
Department of Information Technology(IT)
Genba Sopanrao Moze College of Engineering,Balewadi,pune:411045
Department of Information Technology(IT)
Genba Sopanrao Moze College of Engineering,Balewadi,pune:411045
Department of Information Technology(IT)
Genba Sopanrao Moze College of Engineering,Balewadi,pune:411045
Department of Information Technology(IT)
Genba Sopanrao Moze College of Engineering,Balewadi,pune:411045
Department of Information Technology(IT)
Genba Sopanrao Moze College of Engineering,
Placement activities in academic institutions often face issues such as poor communication, manual tracking, and a lack of intelligent career guidance. This paper presents the end-to-end design and implementation of Campus-Connect, an AI-powered portal for managing placement and career development. The system brings together various components like recruitment events, job applications, company resources, practice exercises, and domain recommendations using a combined backend framework of Spring Boot, an enterprise PostgreSQL relational engine, a React-based web interface, and a modular AI/ML pipeline. Key AI features include automated resume screening based on keywords and skills, a feedback module similar to ATS, an automated Q&A chatbot for placement-related questions, and an optional machine learning model that estimates placement likelihood. PostgreSQL's robust ACID compliance, JSONB dynamic storage, and connection pooling satisfy enterprise data integrity and real-world legal compliance requirements under data protection frameworks.
KEYWORDS
Campus-Connect bridges operational gaps in conventional college placement workflows. Combining a structured Java Spring Boot backend, enterprise PostgreSQL database, and React user interface with intelligent AI modules, the system offers centralized communication, transparent application management, and resume-to-role guidance. The platform simplifies placement workflows for students and officers while establishing a scalable, legally compliant base for career development tooling.
[1] N. Gandi et al., "AI-Driven Placement LMS Portal for Enhanced Student Employability," ICCSCE 2025 Proceedings. Atlantis Press, 2025. DOI: 10.2991 /978-94-6463-858-5_3. [2] Sri Muthu Varshini R. et al., "Institutional Placement Data Management System," IEEE ICINVENTS 2025, 2025. DOI: 10.1109/ICINVENTS64613.2025.11401411 . [3] F. Wu, D. Lyu, and X. Li, "Smart Hiring Redefined: An Intelligent Recruitment Management Platform," arXiv preprint arXiv:2510. 04437, 2025 (revised 2026). [4] S. Ramakrishnan et al., "Institutional Placement Data Management System with Role-Based Access." Proc. National Conference on Computing, 2025. [5] Kaggle Dataset Repository, "Student Placement Prediction Public Dataset," accessed 2026. [Online]. Available: https://www.kaggle.com/datasets/student-placement-prediction [6] "An AI-Powered Mock Interview Platform with NLP and Voice Recognition for Tailored Skill Enhancement," International Journal of Technical Research, 2026.
Publication Date
10/26/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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