Survey Paper On “Fake Products Detection Using Machine Learning”

Survey Paper On “Fake Products Detection Using Machine Learning”

Mrs. Kokare.S.A1, HOD. Shah.S.N2, Avate Rutuja Sunil3,

Rokade Dnyaneshwari Mohan4 ,  Taware Sakshi Sandip5,

1,2Asst. Prof. of Department of Computer Engineering, & 3,4,5 UG Students

Sharadchandra Pawar College of Engineering and Technology, Someshwarnagar, Pune

Abstract— The proliferation of counterfeit products and fraudulent branding presents significant challenges for consumers and businesses alike. The Fake Product & Fake Logo Identification System aims to address these challenges by leveraging advanced machine learning and computer vision techniques to accurately identify counterfeit items and logos. This system employs a combination of image recognition, pattern analysis, and AI-driven algorithms to detect discrepancies between genuine and fake products by analyzing subtle differences in logos, packaging, and design elements. By utilizing a comprehensive database of authentic product images and logos, the system compares and flags anomalies indicative of counterfeiting. The goal is to provide a reliable, scalable, and user-friendly solution that empowers consumers and businesses to combat the adverse effects of counterfeit products, enhancing trust and safety in the marketplace.

Keywords: Fake Product & Fake Logo Identification System, counterfeit items and logos, of image recognition, pattern analysis, and AI-driven algorithms