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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM68418
Volume:
10 |
10 |
Oct 2026
Pages:
1-8
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 Computer Science and Engineering
Kalpataru Institute of Technology, Tiptur

Department of Computer Science and Engineering
Kalpataru Institute of Technology, Tiptur

Department of Computer Science and Engineering
Kalpataru Institute of Technology, Tiptur

Department of Computer Science and Engineering
Kalpataru Institute of Technology, Tiptur

Department of Computer Science and Engineering
Kalpataru Institute of Technology, Tiptur
Colleges that still depend on manual roll-calls, paper registers and scattered messaging groups suffer from proxy attendance, delayed visibility, fragmented communication and weak audit trails. This paper presents CampusCore, an integrated, cloud-connected design for college management and smart campus intelligence, aimed at institutions of 500 to 5,000 students. The platform has four layers: an IoT edge (an ESP8266 hub with an RC522 RFID reader, relay, buzzer and LCD), a Node.js and Express backend with Socket.io, Node-cron, JWT and bcrypt, a PostgreSQL and Redis data tier with a hash-chained audit trail, and a React single-page application with role-based dashboards. A rule engine converts card taps into per-period attendance using timetable and grace-period rules, while an assessment module, class feed, digital library and automated guardian e-mail alerts operate under six-role access control. We present the requirements, architecture, workflow, schema, API, security controls, fault-tolerance behaviour and an 89-case test plan. CampusCore is a design-stage contribution: no hardware is deployed, the blockchain trail is conceptual, and the 150 ms response, 60 s alert and 500 scans/s figures are design targets, not measured results.
KEYWORDS
CampusCore specifies an integrated, four-layer platform that links RFID attendance, a timetable-aware rule engine, live role-based dashboards, an academic hub, digital library services, event-driven guardian alerts and a tamper-evident audit design, together with requirements, schema, API, security controls and an 89-case test plan. Its main value is a single, traceable blueprint sized for 500 to 5,000 students. Future work proceeds in stages: build a bench prototype to measure capture latency; implement the backend and dashboards and run the planned tests; then add the Hyperledger Fabric ledger. Longer-term extensions are a QR-based backup, a mobile application with push notifications, AI-based analytics for performance prediction and dropout-risk analysis (for which classification methods such as the fusion approach in [18] and sampling-based learning on large data [19] may be relevant), biometric or facial recognition, and multi-institution deployment.
[1] K. Ashton, “That ‘Internet of Things’ thing,” RFID Journal, vol. 22, no. 7, pp. 97–114, 2009. [2] K. Finkenzeller, RFID Handbook: Fundamentals and Applications in Contactless Smart Cards, Radio Frequency Identification and Near-Field Communication, 3rd ed. Chichester, U.K.: Wiley, 2010. [3] NXP Semiconductors, “MFRC522: Standard performance MIFARE and NTAG frontend,” Data sheet. [4] A. A. Mohammed and U. Jyothi Kameswari, “Web server based student attendance system using RFID technology,” Int. J. Eng. Trends Technol., vol. 4, no. 5, May 2013. [5] Y. Wang and J. Pang, “College student activity attendance management system design based on Internet of Things and deep learning technology,” in Proc. SPIE 12989, 3rd Int. Conf. Intelligent Traffic Systems and Smart City (ITSSC 2023), Art. 1298914, 2024, doi: 10.1117/12.3023911. [6] K. Ainebyona, A. M. Oguti, J. Walusimbi, and R. Kobusingye, “Integrating attendance tracking and emotion detection for enhanced student engagement in smart classrooms,” arXiv:2601.08049, 2026. [7] Government of India, Ministry of Education, “National Education Policy 2020,” New Delhi, India, 2020. [8] R. T. Fielding, “Architectural styles and the design of network-based software architectures,” Ph.D. dissertation, Univ. California, Irvine, CA, USA, 2000. [9] R. S. Sandhu, E. J. Coyne, H. L. Feinstein, and C. E. Youman, “Role-based access control models,” IEEE Computer, vol. 29, no. 2, pp. 38–47, 1996. [10] M. Jones, J. Bradley, and N. Sakimura, “JSON Web Token (JWT),” IETF RFC 7519, 2015.
Publication Date
10/28/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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