AI-Driven Medicine Authentication System for Detecting Counterfeit Drugs

The widespread presence of counterfeit medicines has become a critical issue in the healthcare sector, leading to severe risks for patients and reduced trust in pharmaceutical systems. Traditional verification approaches, including manual inspection and barcode systems, often fail to provide accurate and real-time authentication for consumers. This paper presents an intelligent medicine authentication system that utilizes artificial intelligence and mobile technology to detect counterfeit drugs efficiently. The system allows users to scan QR codes or capture images of medicine packaging using a mobile application. The captured data is processed to extract essential details, which are then validated against trusted datasets. Based on the analysis, the system provides a reliability score indicating whether the medicine is genuine or suspicious. Additionally, the application includes a feature that offers general medicine-related guidance based on user input while encouraging professional consultation. The proposed solution enhances accessibility, improves user awareness, and provides a scalable approach to combating counterfeit medicines.