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Research Paper | Computer Science | Volume 15 Issue 4, April 2026 | Pages: 1344 - 1347 | India
Pharma Watch AI: Counterfeit Medicine Detection and Shortage Prediction System
Abstract: Pharma Watch AI is an AI-driven pharmaceutical monitoring system designed to detect counterfeit medicines and predict drug shortages using machine learning, computer vision, and data analytics techniques. The system integrates QR code verification, packaging analysis, inventory monitoring, batch tracking, and anomaly detection to improve transparency and safety in the pharmaceutical supply chain. Unlike traditional pharmaceutical monitoring systems that rely heavily on manual inspection and fragmented databases, the proposed system provides centralized real-time verification, predictive analytics, and automated alert generation. By analysing pharmaceutical records, stock levels, sales trends, and supply chain activities, the system supports healthcare providers, regulatory authorities, and the general public in ensuring medicine authenticity and continuous availability of essential drugs.
Keywords: Pharma Watch AI, Counterfeit Medicine Detection, Drug Shortage Prediction, Machine Learning, Computer Vision, Pharmaceutical Monitoring
How to Cite?: Afeef Muhammed, Sindhu Daniel, "Pharma Watch AI: Counterfeit Medicine Detection and Shortage Prediction System", Volume 15 Issue 4, April 2026, International Journal of Science and Research (IJSR), Pages: 1344-1347, https://www.ijsr.net/getabstract.php?paperid=SR26420115239, DOI: https://dx.dx.doi.org/10.21275/SR26420115239