Abstract :

This Project Presents An AIdriven Online Testing And Monitoring System For Assessing The Quality Of Medicines And Consumables. The System Is Designed To Improve Healthcare Safety By Continuously Monitoring The Quality, Authenticity, And Storage Conditions Of Pharmaceutical Products And Medical Consumables.it Ensures Reliability, Efficiency, And Intelligent Decision-making Through Artificial Intelligence And IOT Technologies. The Proposed System Uses Sensors,cloudbased Monitoring,and Machine Learning Techniques To Collect And Analyze Real-time Data Such As Temperature,humidity,expiry Dates,packaging Integrity,and Other Quality Parameters.Based On The Analysis,the System Identifies Products The Meet Quality Standards And Detects Expired, Counterfeit, Or Improperly Stored Medicines.Automated Alerts And Reports Are Generated. KEYWORDS: Artificial Intelligence (AI), Internet Of Things (IOT), Machine Learning, Online Testing, Real-Time Monitoring, Pharmaceutical Quality Control, Medicines Authentication, Medical Consumables Monitoring, Smart Healthcare, Quality Assurance.

Published:

05-8-2026

Issue:

Vol. 26 No. 8 (2026)

Page Nos:

690 - 696

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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