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Project Detail

AI CourseReviewer Platform

Before a digital course reaches a single learner, someone has to check every link.

AI Course Reviewer Platform

— Description:

Before a digital course reaches a single learner, someone has to check every link, every video, every navigation path for errors, a process that traditionally takes hours of manual review per course. This platform automates that entire quality assurance pass.

Problem
Statement

Digital learning platforms scale content faster than manual QA can keep up with. Broken links, navigation dead ends, content errors, and media problems routinely slip through, and each one directly damages the learner experience.

Possible
Solution

We built automated scanning for broken links and navigation issues across course structures, paired with content and media error detection before a course goes live. A detailed automated report replaces what used to be hours of manual, page-by-page review.

Breakdown

FullProject Timeline

A 12-week UX-to-UI path from research and architecture through wireframes, visual design, and usability testing.

UX Design

UI Design

Strategy (Research)

Interview, Empathy Map, User Journey Map

Problem Statement & Goal Statement

Competitive Analysis & Information Architecture

Paper Wireframes

Visual Design & Prototyping

Usability Testing Phase

  1. 1st Week
  2. 2nd Week
  3. 3rd Week
  4. 4th Week
  5. 5th Week
  6. 6th Week
  7. 7th Week
  8. 8th Week
  9. 9th Week
  10. 10th Week
  11. 11th Week
  12. 12th Week

InformationArchitecture

The product map starts at authentication, lands on Home, then branches into the core destinations people actually use.

Information architecture flowchart from authentication to Home, Menu, Items, Search, and Other

High FidelityWireframes

High-fidelity screens arranged to show the primary journeys, from first entry through the everyday product moments.

High-fidelity mobile wireframes for the product flow

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