CogniGaurd and dark_pattern_detector_app

CogniGaurd
44
Emerging
dark_pattern_detector_app
23
Experimental
Maintenance 0/25
Adoption 6/25
Maturity 16/25
Community 22/25
Maintenance 0/25
Adoption 3/25
Maturity 8/25
Community 12/25
Stars: 21
Forks: 48
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 4
Forks: 1
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About CogniGaurd

4darsh-Dev/CogniGaurd

A web extension for identifying dark pattern on websites powered by Fine Tuned BERT Model for classificaiton on dark pattern custom dataset,

This web extension helps online shoppers understand if a website, particularly e-commerce platforms, is using 'dark patterns' to manipulate their decisions. You install it in your browser, browse websites as usual, and then use the extension to analyze the page. It will highlight and explain deceptive design elements, helping you make more informed purchasing choices. It's for anyone who shops online and wants to avoid subtle tricks used by websites.

online-shopping consumer-protection e-commerce-ethics digital-literacy web-browsing

About dark_pattern_detector_app

4darsh-Dev/dark_pattern_detector_app

Dark Pattern Detection using fine Tuned BERT Model, powered by CogniGuard project with streamlit web app

Scores updated daily from GitHub, PyPI, and npm data. How scores work