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Interactive Analysis Hub

AI Analysis Showcase

A static interactive showcase for comparing AI model output and presenting analysis results in a more structured, visual format.

HTMLCSSJavaScriptGitHub Pages

Product

Interactive Analysis HubAIStatic SiteAnalytics

See It Live

Built To Work On The Screen Most People Reach For.

Most people try a free tool on their phone before they ever open it on a desktop. This is how the app actually looks and works there, screen by screen.

  • Most people reach for a tool on their phone first, so the mobile experience is designed to carry that weight, not squeezed in after the desktop build.
  • Every screen shown here, not a single cropped view, so you can see how the whole app holds together on a real screen.
  • The exact live build, captured straight off the shipped app.
Open the live site
Full mobile page for AI Analysis Showcase
Scroll inside the phone to move through the page

Project Overview

How The Project Came Together.

01

Problem

AI Analysis Showcase is a static public project focused less on backend complexity and more on the presentation of analytical work.

02

Approach

The site organizes model comparisons and topic-specific result pages into a format that is easier to scan than plain text reports. It acts as an information-design project as much as an analysis project.

03

Result

As a portfolio entry, it helps show how dense analytical content can be shaped into something more navigable, visual, and audience-friendly.

Challenges & Learnings

What It Took, And What Came Out Of It.

01

Challenge

Presenting dense comparison material without making it feel like a wall of notes.

Learning

Information design can be the main value of an analytics-facing project.

02

Challenge

Turning a static site into a more guided analysis experience through structure and hierarchy.

Learning

A static site can still feel interactive when the navigation and result framing are done well.

03

Challenge

Keeping the project simple technically while still making the output feel intentional.

Learning

Portfolio projects do not always need backend depth if the presentation problem is real and well solved.

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