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Final Year Project
Fake

Fake Product Review Detection System

Project Overview

Designed to protect online consumers, this system gathers e-commerce product reviews and analyzes them using machine learning (Logistic Regression, Naive Bayes, and SVM). It detects spam patterns, review manipulation, and suspicious user account behaviors to rate the authenticity of products.

Core Features & Functions

  • Web scraper for real-time review extraction
  • Text preprocessing (tokenization, stopword removal, lemmatization)
  • Spam pattern analysis (frequency, review length, rating deviation)
  • Recruiter-style admin panel showing verified review logs
  • Machine learning classifier with 90%+ prediction accuracy