📄 Abstract
In the digital era, online transactions and e-commerce platforms have become an essential part of daily life. However, the increasing growth of online marketplaces has also led to various fraudulent activities such as price manipulation, fake discounts, scam advertisements, and deceptive seller practices. These fraudulent activities mislead customers and result in financial losses, reduced trust, and unfair market competition. This paper proposes a Smart Price Manipulation & Scam Detection System that utilizes Machine Learning and Artificial Intelligence techniques to automatically identify suspicious pricing behaviors and online scam activities. The proposed system analyzes product prices, seller information, customer reviews, transaction history, and market trends to detect anomalies and fraudulent patterns. Advanced machine learning algorithms are used to classify legitimate and suspicious activities based on historical data and behavioral analysis. The system continuously monitors price fluctuations and identifies unusual changes that may indicate price manipulation or scam attempts. Experimental results demonstrate that the proposed system achieves high accuracy, precision, and reliability in detecting fraudulent activities across various e-commerce environments. The system can be integrated into online shopping platforms to enhance consumer protection, improve marketplace transparency, and reduce financial fraud.
🏷️ Keywords
📚 How to Cite:
Dr.A.Karunamurthy, S.Praveen Kumar , SMART PRICE MANIPULATION AND SCAM DETECTION SYSTEM , Volume 12 , Issue 6, June 2026, EPRA International Journal of Multidisciplinary Research (IJMR) , Pages: 313 - 318 ,