Privacy Policy

Please review and accept our Privacy Policy to continue

Introduction

The organization, hereinafter referred to as "Trust-Score", "we", "our", or "us", places a strong emphasis on safeguarding user privacy. Any individual accessing or using the platform, referred to as "you" or "your", can be assured that the information shared during the use of our service, including the AI-enabled shopping solution, is handled with due care and responsibility.

This Privacy Policy describes how we collect, utilize, manage, store, share, and protect your personal information when you use or interact with our platform through WhatsApp, website, or our mobile application.

This includes any engagement through text messages, product images, links, or browser extensions (including those labelled with "Trust-Score").

By accessing the platform, signing up, or using Trust-Score and indicating your consent during registration, you agree to the terms of this Privacy Policy. This policy does not extend to any third-party websites or services that may be accessed through our platform.

Information We Collect

We collect only the product URL voluntarily provided by the user and extract limited information, including the product identifier (ASIN) and country code, strictly for the purpose of conducting our analysis.

Information We Don't Collect

  • We do not collect or store any personally identifiable information of customers.
  • We do not collect or process customers' financial information.
  • We do not track or store customers' browsing history.
  • We do not collect or maintain passwords or login credentials, as no account creation is required.

Data Retention & Analysis Results

We save the outcomes of our AI analysis, such as the authenticity score, percentage of fake reviews, adjusted rating, explanations, and examples of flagged reviews. This enables us to provide users with a shareable permanent link for analysing the same product again, making the process faster and more efficient.

We do not store IP addresses in our database or link them with analyses.

Chrome Extension Permissions

The Trust-Score Chrome Extension requires the following permissions to function:

  • Active Tab: To read product page content and extract review data from the currently active tab.
  • Storage: To save user preferences and cached analysis results locally on your device.
  • Host Permissions: To access product pages on Amazon, Flipkart, and Myntra for review scraping.

The extension operates entirely on the client side for data extraction. Scraped reviews are sent only to the Trust-Score server for ML analysis and are not shared with any third parties.

Contact Us

If you have any questions or concerns about this Privacy Policy, please reach out to us at support@trust-score.com.

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Terms & Conditions

Please review and accept our Terms & Conditions to continue

Welcome

Welcome to Trust-Score. These Terms and Conditions govern your access to and use of our website and services. By using our platform, you agree to comply with these Terms. If you do not agree, you should discontinue use of the website immediately.

1. About the Service

Trust-Score provides automated tools that analyze product reviews, ratings, and related information from online marketplaces and e-commerce platforms. The purpose of the service is to help users identify patterns that may indicate unreliable, manipulated, or potentially fraudulent reviews.

Our analysis is generated through software algorithms, machine learning models, and statistical methods.

2. Informational Purposes Only

All scores, ratings, classifications, recommendations, and reports generated by the Service are provided solely for informational and educational purposes.

The Service does not make factual determinations regarding whether any review, reviewer, seller, product, or business is genuine, fraudulent, deceptive, or unlawful.

Users remain solely responsible for their own purchasing, business, and commercial decisions.

3. No Guarantee of Accuracy

While we strive to improve the reliability of our analysis, we do not guarantee that automated systems may produce accurate results. Automated systems may produce inaccurate results, false positives, or false negatives.

4. User Conduct

By using the Service, you agree not to:

  • Violate any applicable law or regulation
  • Use the Service for harassment, defamation, or unlawful activities
  • Attempt to reverse engineer, disrupt, or interfere with the website
  • Use automated tools to overload or scrape the platform without authorization
  • Misrepresent the analysis provided by the Service as verified facts

5. Third-Party Data and Platforms

The Service may process, display, or analyze information obtained from third-party websites and platforms. We are not affiliated with, endorsed by, sponsored by, or approved by any e-commerce platform, marketplace, seller, manufacturer, or brand unless expressly stated.

All trademarks, logos, product names, and company names belong to their respective owners.

6. Intellectual Property Rights

The website, software, algorithms, source code, design, graphics, content, trademarks, and branding are owned by Trust-Score and protected by intellectual property laws. You may not copy, reproduce, modify, sell, license, redistribute, or use our branding without written authorization.

7. Availability of Service

We reserve the right to modify, suspend, restrict, or discontinue any portion of the Service at any time without prior notice. We do not guarantee uninterrupted access, error-free operation, or continuous availability.

8. Disclaimer of Warranties

The Service is provided on an 'AS IS' and 'AS AVAILABLE' basis. To the maximum extent permitted by law, we disclaim all warranties, whether express or implied. Your use of the Service is entirely at your own risk.

9. Limitation of Liability

Under no circumstances shall Trust-Score, its owners, employees, partners, or affiliates be liable for any direct, indirect, incidental, special, punitive, or consequential damages arising from use of the Service or reliance on analysis results.

10. Indemnification

You agree to defend, indemnify, and hold harmless Trust-Score from any claims, liabilities, damages, losses, costs, or expenses resulting from your use of the Service, violation of these Terms, or misuse of information provided by the Service.

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Trust-Score

About this project

Trust-Score

About This Project

An AI-powered system that detects fake and deceptive product reviews across major Indian e-commerce platforms using advanced machine learning techniques.

Our Mission

Online reviews heavily influence purchasing decisions, but a significant percentage of reviews on e-commerce platforms are fake, misleading, or paid. Our mission is to empower consumers with AI-driven tools to identify deceptive reviews and make informed purchasing decisions.

This project uses Natural Language Processing (NLP) combined with behavioral analysis to classify reviews as genuine or fake with high accuracy.

How It Works

1

Paste Product URL

Copy any product URL from Amazon, Flipkart, or Myntra and paste it into our analyzer.

2

AI Scrapes & Analyzes

Our system scrapes reviews and runs them through a trained ML model that examines text patterns, behavior signals, and linguistic features.

3

Get Detailed Results

View a comprehensive dashboard with trust scores, charts, keyword analysis, and individual review classifications.

Technology Stack

Python
Flask
Scikit-learn
NLP / TF-IDF
Selenium
Chart.js
HTML5 / CSS3
Pandas

ML Features Used

Word-level TF-IDF Vectorization
Character-level TF-IDF Vectorization
Review Length & Word Count
Exclamation & Uppercase Ratio
Unique Word Ratio
Rating & Verified Purchase Signals
Review Burst Detection
Helpful Vote Count