ANKON | AI-Powered Career Mentorship Platform
A full-featured, role-based (admin/mentor/mentee) web platform that connects university students with career mentors through an AI-powered matching algorithm.
About the Project
ANKON is an AI-powered mentorship platform that connects university students with industry-experienced career mentors. Built on Next.js 16 (App Router, React 19) and Material UI, the frontend spans a public marketing site, authentication flows, and a role-based (admin/mentor/mentee) dashboard application. Mentor-mentee matching runs on a Cloudflare AI-driven scoring algorithm, and approved matches flow into a slot-based booking calendar for session scheduling. The platform ships bilingual (Turkish/English via next-intl) and integrates with a .NET backend API.
Challenge
Student-mentor matching needed to be automated rather than manual and subjective, surfacing relevant mentors based on skills and interests, while also supporting three distinct user roles (admin, mentor, mentee) within one consistent interface.
Solution
A Cloudflare AI-driven scoring algorithm was built to surface a compatibility percentage for each mentee's recommended mentors. Once a match is approved, sessions are scheduled through a mentor availability/slot calendar. The role-based dashboard uses TanStack Query for server state, Zod + react-hook-form for end-to-end form validation, and next-intl for TR/EN bilingual support, backed by a three-layer test suite (Vitest/RTL + Playwright).
Results
The platform cut over from staging to production (ankongenclik.com) on 2026-07-13 and now runs live against the .NET backend API, with the full mentorship lifecycle (request → approval → active → ended) and slot-based booking flow working end to end.
