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Call For Paper
Volume 12 Issue 07
July 2026
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Author(s)
K.Chandru Mrs. S.Shirley Mrs. V.Mageswari
Abstract
The Increasing Cases Of Counterfeit Products, Fake Sellers, And Misleading Pricing On E-commerce Platforms Have Made Online Shopping Risky For Consumers. This Paper Presents An AI-based System That Detects Fake Products, Verifies Authenticity, Compares Prices Across Platforms, And Assists Users Via A Chatbot. The System Ensures Transparency, Enhances Trust, And Promotes Informed Decision-making In Digital Commerce.
Keywords
Fake Product Detection
Product Authenticity
AI Chatbot
Price Comparison
E-Commerce Safety
Machine Learning.
Paper ID
IJSARTV11I6103804
Publication Date
June 20, 2025
Research Area
Computer Engineering And Information Technology