Mentor Matching Platform With Generated Mentorship Plans

Added Jun 2025 3 design docs

Students consistently say mentorship changed their careers, yet most mentorship programs fail on logistics: matches are made on gut feel, plans never get written, and pairs drift apart after one enthusiastic first call. Program coordinators in education need tooling that makes good matches and then keeps those matches productive. The intern builds a platform where generative AI powers both the matching and the follow-through. Student and mentor profiles covering career interests, goals, skill gaps, and availability live in MongoDB, and the AI scores compatibility and generates a personalized mentorship plan for each pair: milestones, meeting cadence, and communication templates that keep conversations purposeful. A Node.js API manages accounts, matching runs, and progress tracking, while the React frontend gives mentors and mentees shared dashboards, session notes, and goal check-ins. Docker packages the services for deployment, and secure authentication protects what are often sensitive career conversations. The intern demonstrates AI product thinking beyond chat, using generation to produce structured plans people follow, alongside the full-stack, team-oriented engineering of a real education platform.

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