Quizlytics

Purpose

Make learning more personal through AI-generated quizzes and custom assessments, with the ability to turn a URL into a quiz.

What it does

• AI-generated quizzes
• Custom assessments with unique access keys
• URL-to-quiz conversion

Built with

• Next.js
• Tailwind CSS
• Node.js
• NextAuth
• Express.js
• MongoDB

My role

Full-stack architecture across the Next.js client, NextAuth session pipeline, and Express/MongoDB assessment API.

Technical implementation

• Structured quiz generation workflows that parse topic prompts and source URLs into normalized multi-question schemas.
• Integrated NextAuth session management so creators and learners have scoped access to private assessments and analytics.
• Built key-gated custom assessment flows enabling educators to distribute assessments with unique access keys.

Architecture & workflow

• App Router Next.js client paired with Tailwind CSS for responsive quiz-taking and analytics views.
• Express.js and Node.js API layer handling quiz assembly, URL ingestion, and submission scoring.
• MongoDB document collections storing generated question banks, access-key metadata, and attempt telemetry.

Challenges

• Keeping AI-generated question payloads consistent in structure before rendering interactive quiz forms.
• Ensuring access-key validation and submission scoring remain reliable across concurrent learner attempts.

Solutions

• Normalized incoming quiz payloads on the Express server before persisting or returning assessment documents.
• Scoped assessment lookups and submission records by unique access keys and authenticated user sessions in MongoDB.

Documented outcomes

• Unified AI topic quizzes, URL-to-quiz conversion, and key-protected custom assessments inside one cohesive learning workspace.