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AI-Powered Fake Review Detection and Verification System

Name: AI-Powered Fake Review Detection and Verification System
SKU: 289
Availability: InStock

Original price was: ₵550.00.Current price is: ₵500.00.

TTUGuard is a Django-based web application that uses machine learning to detect fake reviews with high accuracy. It offers businesses real-time review verification, confidence scoring, and Paystack-powered payment validation, along with an admin dashboard for complete review management.

Category: Web Apps Tags: AI Review Verification, Fake Review Detection, Review Fraud Prevention, Review Management System

Description

TTUGuard is a professional fake review detection system built on Django, designed to help businesses and platforms ensure the authenticity of customer feedback. Users can submit reviews for instant analysis, receiving clear results on whether a review is real or fake, along with confidence scores that indicate the strength of the prediction. When reviews are flagged, businesses can verify them securely through a Paystack-powered payment system, adding a trusted layer of validation.

For administrators, TTUGuard provides a feature-rich dashboard to monitor review activity, view statistics, and manage flagged entries. The system also includes web scraping capabilities for importing reviews from external sources, making it useful for e-commerce sites, review platforms, and businesses that rely heavily on customer trust.

The technology stack combines Django 4.2.7 on the backend, Bootstrap with HTML/CSS/JavaScript on the frontend, and SQLite/PostgreSQL/MySQL for database support. Machine learning models are powered by scikit-learn, NLTK, and pandas, ensuring accurate classification and data handling. With Paystack integration for verification and confidence scoring for transparency, TTUGuard delivers a secure, scalable, and effective solution for review fraud prevention.