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1 Title of the Article Enhancing Laboratory Experience: A Combination of RFID and Machine Learning Techniques to Track Attendance and Upgrade Hardware
2 Author's name Prasanna Kumar M: Department of Electronics and Instrumentation Engineering, Dr. Ambedkar Institute of Technology Bengaluru, India
3 Author's name Likhith K Raj, Karthik M, Chandu Shivaputrappa Barker, Manoj R
4 Subject Electronics and Instrumentation Engineering
5 Keyword(s) RFID reader, RFID Tags, nodeMCU, Machine Learning
6 Abstract

Practical subjects have grown in importance in student lives over time. Certain components may malfunction or not be suitable for the experiment being conducted. The RFID system facilitates the tracking of both student attendance and experiment details, which are saved on a MySQL server and shown inside a PHP environment. After being collected by means of an RFID reader, RFID tags, and a nodeMCU, the data has been applied to artificial understanding that identifies usage and then notifies the service. Based on mean square error (MSE) value, we have constructed three models: gradient boosting (1.00), random forest (0.5), and linear regression (0.14).

7 Publisher Innovative Research Publication
8 Journal Name; vol., no. International Journal of Innovative Research in Computer Science & Technology (IJIRCST); Volume-12 Issue-3
9 Publication Date May 2024
10 Type Peer-reviewed Article
11 Format PDF
12 Uniform Resource Identifier https://ijircst.org/view_abstract.php?title=Enhancing-Laboratory-Experience:-A-Combination-of-RFID-and-Machine-Learning-Techniques-to-Track-Attendance-and-Upgrade-Hardware&year=2024&vol=12&primary=QVJULTEyNzA=
13 Digital Object Identifier(DOI) 10.55524/ijircst.2024.12.3.18   https://doi.org/10.55524/ijircst.2024.12.3.18
14 Language English
15 Page No 113-119

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