AI-powered Career Interest Test — Full-Stack Web App

Overview

Built a full-stack career interest assessment platform that guides users through a questionnaire, verifies their email, and returns personalized job recommendations with AI-generated explanations.

What I delivered

• Smooth end-to-end user flow: questionnaire → email verification → results
• Deterministic job ranking engine with sector-aware diversity (best job per sector under configurable thresholds)
• Top 10 job recommendations with sector labels and clear match explanations
• Systeme.io integration for lead capture and automated emails (contact creation + tagging)
• Admin dashboard to manage questionnaire content, job catalog (CSV → JSON), responses, and sector ranking settings
• Multi-tenant ready backend architecture with secure admin authentication

Tech stack

• Frontend: Next.js, React, TypeScript
• Backend: FastAPI (Python)
• Integrations: Systeme.io API, LLM providers (OpenAI / Gemini)
• Data: Job catalog scoring, Google Sheets / PostgreSQL flows depending on environment

Outcome

Delivered a polished beta ready for real-user testing, with clear UX, reliable email automation, and a recommendation engine designed to stay coherent as the job database grows from ~40 to 200+ roles.