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cognigaurd's Introduction

CogniGuard πŸ•΅οΈβ€β™‚οΈβœ¨

Overview

CogniGuard is a web extension dedicated to identifying and combating dark patterns on websites, ensuring users a transparent and ethical online experience.

Tech Stack πŸ› οΈ

  • Web Extension: HTML, CSS, JavaScript
  • Python (BeautifulSoup, Scrapy): Web scraping for price data analysis.
  • Django: Backend for API management.
  • BERT Model: Fine-tuned for sophisticated pattern recognition.

Installation πŸš€

  1. Download and install the CogniGuard extension in your browser.
  2. Start browsing websites confidently, knowing dark patterns are actively monitored.
  3. Transparency scores are displayed on the extension interface upon opening a website.

Features πŸŒπŸ”

  1. JavaScript Code Analysis: Uncover deceptive tactics through DOM manipulation and event listeners.
  2. Price Manipulation Detection: Warn users of potential price manipulation and fake urgency.
  3. Crowdsourced Database: Contribute to a collaborative platform by reporting dark patterns.
  4. Misleading Terms & Conditions Detection: Identify complex terms and potential data leaks.
  5. Transparency Score Calculation: Receive website transparency scores for an informed browsing experience.

Screenshots πŸ“Έ

[Include screenshots of the extension interface in action.]

Documentation πŸ“–

Detailed documentation on usage, contribution guidelines, and API integration can be found in the Coming Soon.

Authors πŸ§‘β€πŸ’»

Contributing Guidelines πŸ€πŸš€

Explore how you can contribute to our mission of combating dark patterns. Whether it's reporting instances, suggesting enhancements, or contributing code changes, your involvement is crucial to creating a fair digital environment.

Roadmap πŸ—ΊοΈ

Check out the project's roadmap to understand the planned features, improvements, and future milestones.

Code of Conduct πŸ§‘β€πŸ’Ό

Familiarize yourself with the project's code of conduct to ensure a positive and inclusive community.

Acknowledgments πŸ™

Show appreciation for contributors, libraries, or tools that have played a significant role in the development of DarkPatternDetector.

Feedback πŸ“¬

We value your feedback! Report issues at [email protected] Propose features, or submit pull requests. Let's create a fair and transparent digital environment together! 🌐✨

cognigaurd's People

Contributors

4darsh-dev avatar

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