MENTOR PLATFORM

Mentor Connect proposes an integrated digital platform to improve access to personalized mentoring and career guidance. It combines profile- and goal-oriented AI-assisted matching with structured mentoring tracks, session support, feedback, progress visibility and engagement features. The proposed architecture includes a web frontend, API gateway, modular backend services, database, matching component and security layer. A six-month development plan provides a staged route from requirements and interface design to implementation, testing and deployment. The platform has potential applications in education, corporate development, professional networks and community programs. Its success will depend on relevant match recommendations, ease of use, continued participation, system reliability and responsible handling of user data. Future work should implement the proposed system, define and evaluate the matching approach, conduct usability and integration testing, and gather feedback from mentors, mentees and participating organizations. The present work therefore establishes a proposed framework rather than reporting validated implementation results.

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