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Paper ID:IJSREM63325

Smart Classroom Allocation and Booking System Using IoT

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM63325

Volume:

10 |

5 |

May 2026

Pages:

1-7

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM63325

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.

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Authors

SA

Sarosh Adurkar

Department of Mechatronics Engineering

Loknete Shamrao Peje Government College of Engineering Ratnagiri

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MG

Muttahir Gadkari

Department of Mechatronics Engineering

Loknete Shamrao Peje Government College of Engineering Ratnagiri

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SS

Shraddhesh Salvi

Department of Mechatronics Engineering

Loknete Shamrao Peje Government College of Engineering Ratnagiri

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YB

Yash Bandarkar

Department of Mechatronics Engineering

Loknete Shamrao Peje Government College of Engineering Ratnagiri

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Mentors

NP

Neha Pardeshi

Department of Mechatronics Engineering

Loknete Shamrao Peje Government College of Engineering Ratnagiri

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Abstract

Manual classroom allocation in colleges often leads to scheduling conflicts, unauthorized room usage, and inefficient utilization of available infrastructure. This paper presents a Smart Classroom Allocation and Booking System based on Internet of Things (IoT). The system integrates an ESP32 microcontroller with RFID-based authentication to enable secure and automated access control for faculty members. A cloud-connected architecture is used to store schedules, verify user credentials, and maintain usage logs in real time. A display module provides instant updates on classroom status, while a portable battery-powered design ensures flexibility and ease of deployment. The proposed system reduces manual intervention, enhances security, and improves resource utilization. Experimental results demonstrate that the system is reliable, cost-effective, and scalable, making it suitable for smart campus environments and future enhancements such as mobile integration and analytics. The system achieved high accuracy in verification with minimal delay, demonstrating practical applicability.

KEYWORDS

Index Terms— IoT RFID Smart Classroom ESP32 Classroom Allocation Authentication System Classroom Automation Cloud Computing Firebase Real-time Monitoring.

Cite This Article

Sarosh Adurkar, Muttahir Gadkari, Shraddhesh Salvi, Yash Bandarkar, Neha Pardeshi, "Smart Classroom Allocation and Booking System Using IoT," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-7, May 2026. https://doi.org/10.55041/IJSREM63325

Full Article/Conclusion

This paper has presented the design, implementation, and experimental evaluation of a Smart Classroom Allocation and Booking System based on IoT infrastructure principles. The system successfully integrates RFID-based faculty authentication, cloud-connected schedule validation via Firebase, embedded processing on the ESP32 microcontroller, and live status display to automate and secure classroom access management in educational institutions. Experimental results demonstrate that the system achieves high verification accuracy (99.5%), rapid response times (average 305 ms), reliable unauthorized access prevention (100% denial rate), and sufficient battery endurance (8.9 hours) for full-day academic operation. The feature comparison in Table III confirms that the proposed system addresses a genuine gap in existing literature by unifying verification, scheduling, and monitoring in a single portable platform. The system contributes to the broader vision of smart campus infrastructure by reducing administrative overhead, improving classroom utilization, and providing administrators with transparent, auditable access logs. Its modular design and use of widely available, low-cost components ensure that the solution is both economically feasible and adaptable to institutions of varying scales.

References

[1] K. Kumar, "RFID-Based Student Attendance System," in Proc. IEEE Int. Conf. on Electronics and Communication Systems, Coimbatore, India, Feb. 2018, pp. 112–116. [2] S. Sharma, "IoT Based Smart Classroom System," in Proc. IEEE Int. Conf. on IoT and Connected Technologies, Noida, India, May 2019, pp. 45–50. [3] A. Verma, "Cloud-Based Smart Classroom Management System," IEEE Access, vol. 8, pp. 87234– 87245, 2020. [4] R. Patel, "ESP32 Based IoT Monitoring System," in Proc. IEEE Int. Conf. on Computing and Network Communications (CoCoNet), Trivandrum, India, Dec. 2020, pp. 200–205. [5] J. Lee, "IoT-Based Smart Campus System," IEEE Trans. Educ., vol. 62, no. 3, pp. 180–188, Aug. 2019. [6] M. Weiser, "The Computer for the 21st Century," Scientific American, vol. 265, no. 3, pp. 94–104, Sep. 1991. [7] J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, "Internet of Things (IoT): A vision, architectural elements, and future directions," Future Generation Computer Systems, vol. 29, no. 7, pp. 1645– 1660, Sep. 2013. [8] Google LLC, "Firebase Realtime Database Documentation," [Online]. Available: https://firebase.google.com/docs/database. [Accessed: Apr. 2025]. [9] Espressif Systems, "ESP32 Technical Reference Manual," Rev. 5.1, 2023. [Online]. Available: https://www.espressif.com/sites/default/files/documentati on/esp32_technical_reference_manual_en.pdf. [10]  NXP Semiconductors, "MFRC522 Standard Performance MIFARE and NTAG Frontend, Product Data Sheet," Rev. 3.9, Apr. 2016.

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Publication Date

5/18/2026

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Review Rounds: 2

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