Team Members
Abdelrahman Nader Halim
Team Leader
Yassin Ahmed Mohamed
Team Member
Ahmed Sherif Marei
Team Member
Ahmed Mohamed
Team Member
Supervisors
Dr. Diaa Salama AbdElminaam
Associate Professor
Eng. Mohamed Abdelazim
Teaching Assistant
Abstract
The project, Trustify, is an advanced system designed to enhance trust and authenticity across multiple domains by detecting fraudulent activities. It consists of three core functionalities: fake review detection for e-commerce platforms, fake comment detection for social media, and email spam detection. The system is implemented through two components: an API for developers to integrate detection capabilities into their applications and a user-friendly interface where users can directly submit reviews, social media comments, or emails for analysis. By combining these features, Trustify provides a comprehensive solution to combat fraud and spam, empowering businesses, developers, and individual users alike.
System Objectives
The objective of Trustify is to create a reliable and scalable solution for identifying and mitigating fraudulent activities across e-commerce, social media, and email platforms. The system aims to provide developers with a versatile API for integration into custom applications and a straightforward interface for users to verify the authenticity of reviews, comments, and emails. By delivering accurate detection results, Trustify seeks to foster trust, improve user experiences, and enhance the overall security and credibility of digital interactions.
System Scope
Fake Review Detection: Analyze product reviews submitted via the user interface or API to determine their authenticity, helping e-commerce platforms maintain credible review systems.
Fake Comment Detection: Identify fraudulent or spam comments on social media, ensuring a cleaner and more trustworthy environment for online interactions.
Email Spam Detection: Detect and flag spam emails to protect users from unsolicited content.
API Component: Provide developers with a powerful and flexible API that supports the integration of fake review, comment, and email spam detection functionalities into their applications.
User Interface: Offer an intuitive platform for users to manually submit reviews, comments, or emails for real-time fraud analysis.
Multi-Domain Applicability: Ensure the system is adaptable to various platforms, including e-commerce websites, social media networks, and email services.
Documents and Presentations
Proposal
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Technical
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Thesis
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Accomplishments
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Competitions
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