Guardian Sheild

  Unmasking Deception in E-commerce with  Precision and Vigilance.

Features Of This Extension

User Interface Deception

● A sophisticated artificial intelligence modal 

 �     has been meticulously trained to analyze user

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     Interfaces  accepting URLs or screenshots of

�     websites as input.

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● Specifically fine-tuned utilizing YOLO (You Only Look

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      Once) architecture,

� �● This advanced model excels in detecting and reporting

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    instances of dark patterns

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Misleading Product Information

● Extends analysis by cross-referencing data from additional ecommerce platforms to identify potential discrepancies.

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● Methodology involves extensive web scraping on the target ecommerce site to extract essential details like product prices and descriptions.

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● Commitment to delivering accurate and reliable results emphasizes transparency for users.

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● In case of disparities found during comparative analysis, the system promptly notifies the user.

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Fake Reviews Detection

● Utilizes a sophisticated strategy combining Convolutional      Neural Networks (CNNs) and Bidirectional Long Short-Term Memory (BiLSTM) layers.

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● Meticulously trained to ensure precise assessments of deceptive comments on e-commerce sites.

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● Enhances the model's capability to dynamically analyze user-generated content, providing timely insights for real-time assessment.

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● Demonstrates a commitment to deploying advanced technologies to ensure a secure online shopping environment.

Forced Account Creation

● The browser extension utilizes a sophisticated mechanism to identify instances where user authentication or registration is required before completing a purchase on an ecommerce platform.

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● In cases of redirection to a signup page, the extension promptly notifies the user.

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● The proactive approach of the tool empowers users to make informed decisions while navigating e-commerce interfaces.

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● By alerting users to authentication requirements in real-time, the extension enhances user control and ensures a more transparent and user-friendly online shopping experience.

Fake Urgency & Scarcity

● Extension assesses product availability indicators on e-commerce pages by recording initial and current quantities along with countdown timer values.

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● System detects discrepancies or potential manipulation, especially during page refresh, offering users insights into the authenticity of displayed information.

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● Data on initial quantities and countdown timer values are stored and monitored

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● Extension alerts users to changes after page refresh, ensuring transparency and trustworthiness in online shopping

Limited User Choice

● Conducts assessments on ecommerce websites to analyze their  product  endorsement strategies

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● This involves examining features such as product promotions,     recommendations based on user behavior, and showcasing items  commonly  bought together

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● Our goal is to understand the website's approach to product  promotion and identify any tactics employed to encourage users to explore  and purchase additional products.

Hidden Costs

    ● Implementation of Cutting-edge Optical Character                        Recognition   (OCR) technology.

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   ● This sophisticated system is adept at  extracting and                    interpreting  all textual content embedded within the URL          of a screenshot capturing the checkout process.

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   ● This proactive approach enables us to apprise users                      promptly  about any latent expenses, thereby enhancing            transparency and fostering a  more informed and                            confident user experience.

Future Aspects

●Ensuring Certificate Validity

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● System detects discrepancies or potential manipulation, especially during page refresh, offering users insights into the authenticity of displayed information.

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●Data on initial quantities and countdown timer values are stored and monitored

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● Extension alerts users to changes after page refresh, ensuring transparency and trustworthiness in online shopping

THANKS!

Presented By : Team Devils

Atulit Gaur

Archita Chaudhary

Anant Aggarwal

Raman