Authors - Mach Thai Loc, Nguyen Hong Phuc, Huu-Cuong Nguyen Abstract - With the development of e-commerce and global supply chains, there is a growing concern about fake or counterfeit products. Current methods for verifying product authenticity are often cumbersome ,time consuming, and vulnerable to tampering. In order to address these issues, for the purpose of this project, a QR code based "Fake Product Detection System" is introduced. In this system, the manufacturer creates an exclusive QR code for each product. The manufacturer then keeps the QR code in a database. If the QR code is scanned through the web-based application, the code is instantly verified. If the code is unique and has not been used be-fore, the product is genuine. But if the code is duplicated or used multiple times, the product is deemed counterfeit. The system is implemented using the Flask web development framework, SQLite database, and web interfaces using the HTML/CSS duo, which is lightweight and easy to use. Other notable features of the system are user authentication, history logging, suspicious image upload for the QR code, and detection of counterfeit items. Overall, this solution would offer a simple, economical, and efficient means to uncover Trojan products while fostering trust amongst consumers and aiding manufacturers to track counterfeit practices.
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