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Development of Automated Mentorship Platform for Young Migrants with Intelligent Matching Algorithm
  1. case
  2. Development of Automated Mentorship Platform for Young Migrants with Intelligent Matching Algorithm

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Development of Automated Mentorship Platform for Young Migrants with Intelligent Matching Algorithm

3sidedcube.com
Non-profit
Education
Human Resources

Challenges in Manual Mentorship Matching

Manual matching of mentees and mentors using CRM systems and spreadsheets was time-consuming, limited in scalability, and hindered expansion efforts. The organization struggled to meet growing demand while maintaining quality connections for career development.

About the Client

Charity organization focused on mentorship and career development for young migrants

Platform Implementation Goals

  • Automate mentor-mentee matching process
  • Enable indefinite scalability for global expansion
  • Provide centralized access to career resources and opportunities
  • Enhance user engagement through personalized matching
  • Support long-term mentorship relationship management

Core System Capabilities

  • AI-powered mentor-mentee matching algorithm
  • Comprehensive user profile management with video integration
  • Automated notification system for mentorship engagement
  • Resource library with mentor-created content
  • Opportunity marketplace for internships/jobs
  • Dynamic session scheduling interface

Technology Stack Requirements

Firebase
AWS
iOS
Android

System Integration Needs

  • CRM systems (e.g., Salesforce)
  • Payment gateways
  • Analytics platforms

Operational Requirements

  • High scalability for global user base
  • Enterprise-grade data security
  • Cross-platform compatibility
  • Real-time matching performance
  • Multi-language support

Expected Organizational Impact

Enables 10x growth in mentorship connections while reducing administrative overhead by 70%. Creates sustainable infrastructure for expanding services to additional migrant populations and corporate partners.

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