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Fraud Prevention and Brand Protection Platform for Unicrew
  1. case
  2. Fraud Prevention and Brand Protection Platform for Unicrew

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Fraud Prevention and Brand Protection Platform for Unicrew

artelogic.net
Human Resources
Information technology
Business services

Fraudulent Activities Targeting Brand

Unicrew is experiencing a significant increase in fraudulent activities, particularly in India, where individuals are impersonating the company to conduct deceptive hiring campaigns. These campaigns involve charging training fees to individuals under the guise of employment opportunities. This is severely damaging Unicrew's brand reputation and causing financial harm to potential candidates.

About the Client

Unicrew is a company providing staffing and talent solutions. They operate in the HR industry, focusing on connecting talent with opportunities.

Project Goals

  • Develop a platform to detect and mitigate fraudulent activities impersonating Unicrew.
  • Protect Unicrew's brand reputation by preventing misuse of company name and attributes.
  • Provide a mechanism for reporting and tracking fraudulent incidents.
  • Educate the public about these fraudulent schemes and provide resources for verification.
  • Reduce financial losses associated with fraudulent activities.

System Functionality

  • Real-time monitoring of online channels (websites, social media, email domains) for impersonation.
  • Automated detection of fraudulent campaigns based on keywords, patterns, and suspicious activities.
  • Reporting mechanism for users to report suspected fraudulent activities.
  • Content management system for creating and distributing educational materials about fraud prevention.
  • Integration with existing Unicrew communication channels to disseminate warnings.
  • Analytics dashboard to track fraud trends and campaign effectiveness.

Technology Stack

JavaScript
Node.js
Express.js
Vue.js
WebRTC
MongoDB
AI/ML for pattern detection (Whisper AI, ChatGPT)

External Integrations

  • Email parsing API for analyzing email domains and content.
  • Social media APIs for monitoring mentions and activity.
  • Potentially, a fraud intelligence feed API.

Non-Functional Requirements

  • Scalability to handle increasing volumes of data and traffic.
  • High availability and reliability.
  • Robust security measures to protect sensitive data.
  • Data privacy compliance (GDPR, etc.).
  • Performance optimization for real-time monitoring.

Expected Business Impact

This project is expected to significantly reduce financial losses, protect Unicrew's brand reputation, and enhance trust with potential candidates. By proactively addressing fraudulent activities, Unicrew can maintain a positive image and continue to attract genuine talent. A successful implementation will also free up internal resources from managing fraud-related issues, allowing them to focus on core business operations.

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