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E-commerce websites often employ deceptive user interface (UI) strategies, commonly known as dark patterns, to influence user behavior in ways that may not be in the user's best interest.
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E-commerce platforms sometimes employ strategies to present products at a seemingly lower price, only to reveal hidden costs during the checkout process.
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Fabricating positive reviews to artificially enhance product ratings and create a false sense of popularity, influencing potential buyers in a misleading manner.
Our innovative Chrome extension revolutionizes the fight against deceptive practices on e-commerce websites. Leveraging advanced Machine Learning and intricate algorithms, our solution empowers users to unmask dark patterns and enhance their online shopping experience.
Team Leader : @ManasMadan
- Tanish Saxena - 2022UIC3511
- Manas Madan - 2022UIC3533
- Ayush Arora - 2022UIC3538
- Devansh Behl - 2022UIC3582
- Meet Singh - 2022UIC8057
- Smart India Hackathon Winner, showcasing exceptional problem-solving skills and collaborative innovation to address real-world challenges, demonstrating a strong aptitude for cutting-edge solutions in a competitive and dynamic environment.
- Special Mention at FinAThon by South Indian Bank, recognizing our outstanding contributions and innovative solutions in financial technology, highlighting expertise in driving impactful advancements within the banking sector.
- Runner-up at HackXtreme Hackathon for crafting a dynamic Visual Studio Code extension, showcasing proficiency in software development and creativity in enhancing developer tools for optimal efficiency.
- Our Chrome extension goes beyond conventional review filtering, employing a multi-faceted approach to distinguish genuine feedback from deceptive AI-generated content.
- Filter reviews and eliminate AI-generated content. Submit filtered reviews to the Machine Learning Model, extracting details mentioned on the website.Assign a comprehensive score to each detail, gauging its genuineness and effectively eliminating misleading information.
Hidden Costs Detection
- Enable the extension and seamlessly track your journey from the product page to checkout.Uncover hidden costs on the checkout page, providing users with transparency and avoiding unexpected charges.
- On the product page, scrutinize details and mentions to highlight potential dark patterns.Ensure that critical information receives user attention, eliminating deceptive tactics that may go unnoticed.
- Review Filteration
- Product Details Extraction
- Review Summarisation
- UI Deception
- Hidden Cost
- Cart Sneaking
- Fake Urgency
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Seamlessly integrates with browsers for a hassle-free user experience, requiring no intricate setup or technical expertise.
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Provides instant, on-the-fly analysis, empowering users to detect deceptive practices in real-time during their online shopping journey.
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Boasts an intuitive and user-friendly interface, ensuring accessibility and ease of use for a wide range of online shoppers.
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Offers regular updates and reliable support to adapt to evolving online trends, ensuring users consistently benefit from the latest features and security enhancements.
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Design a scalable architecture that accommodates increased user traffic and evolving functionalities as the user base expands.
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Leverage cloud services to ensure scalability, allowing our solution to effortlessly handle growing data volumes and user demands.
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Utilise user feedback for continuous improvements, iterating and enhancing the solution to meet evolving user needs and market demands.
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Partnering with e-commerce platforms streamlines dark pattern detection, minimising resources and fostering beneficial relationships with stakeholders.
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Empower consumers with the ability to make informed choices, fostering a marketplace where transparent and fair practices are encouraged.
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Contribute to a more honest and trustworthy online retail ecosystem by actively combating deceptive practices, creating a ripple effect for ethical conduct.
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Strengthen trust between online retailers and consumers, encouraging a positive environment where businesses prioritise transparency and user satisfaction.
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Undertake initiatives to educate users about online deception and dark patterns, promoting digital literacy and awareness.