Ecommerce Dark Pattern

1 week
Chrome Extension

E-Commerce Dark Pattern Detector: Empowering Fair Online Shopping

πŸš€ Overview

The E-Commerce Dark Pattern Detector is a Chrome extension that helps users identify deceptive practices used by online retailers. By leveraging advanced Machine Learning (ML) algorithms, this tool detects misleading UI tacticsβ€”such as hidden costs, fake reviews, and artificial urgencyβ€”ensuring a transparent and ethical shopping experience.

🎯 My Approach

E-commerce platforms often use dark patternsβ€”tricks designed to manipulate users into decisions they might not otherwise make. This project aims to combat unethical sales tactics by offering an AI-powered browser extension that detects and warns users about potential deceptions in real time.

🌟 Core Features

βœ” AI-Powered Review Analysis – Detects AI-generated and misleading reviews, ensuring credibility.
βœ” Hidden Cost Detection – Alerts users about extra fees added at checkout.
βœ” Attention-Focused Analysis – Highlights deceptive UI elements that may mislead shoppers.
βœ” Fake Urgency Identification – Detects manipulative "Only X Left!" warnings.
βœ” Cart Sneaking Alerts – Identifies when unwanted items are secretly added to the cart.
βœ” Seamless Browser Integration – Works instantly within Chrome without complex setup.

πŸ” Innovation & Uniqueness

Unlike traditional ad blockers or review filters, this tool specifically focuses on dark patterns, offering:

πŸ”Ή Real-time Detection – Flags deceptive practices as users browse.
πŸ”Ή AI-Driven Insights – Uses Machine Learning to analyze UI and content manipulation.
πŸ”Ή User Empowerment – Puts control back in the hands of consumers, allowing informed decisions.

πŸ”— Tech Stack

πŸ–₯ Frontend: CRXJS Vite Plugin, React, Tailwind CSS
βš™ Backend: Python, TensorFlow, NumPy, Pandas
🌐 Platform: Chrome Extension

πŸ‘₯ Target Audience

πŸ“Œ Online Shoppers – Protects users from deceptive tactics.
πŸ“Œ Consumer Rights Advocates – Supports ethical shopping standards.
πŸ“Œ Developers & Researchers – A case study in ethical AI applications.

πŸ”₯ Impact & Scalability

βœ” Empowering Consumers – Helps users make informed purchase decisions.
βœ” Encouraging Transparency – Pushes e-commerce platforms toward ethical sales practices.
βœ” Scalable Solution – Cloud-enabled, adaptable for future online retail trends.

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