IJIRCSTJournal International Journal of Innovative Research in Computer Science and Technology I S Volume 12 Issue 3 Electronics and Instrumentation Engineering English May - June 2024 N N Y 2024 06 02 Computer Sciences Enhancing Laboratory Experience: A Combination of RFID and Machine Learning Techniques to Track Attendance and Upgrade Hardware English Y 113 119 Prasanna Kumar M English Y Likhith K Raj English N Karthik M English N Chandu Shivaputrappa Barker English N Manoj R English N https://doi.org/10.55524/ijircst.2024.12.3.18 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). English RFID reader, RFID Tags, nodeMCU, Machine Learning https://ijircst.org/abstract.php?article_id=1270