UI/UX & Product Designer
Artboard 1.png

Pixie (Startup Project)

Pixie

Startup Project | USC Viterbi ABC Innovation Prize Finalist

 

Overview

Pixie is a Photo App that utilizes machine learning to create styles and stylize pictures, connecting artists and individuals/small business owners.

  • My Role: Head of design (UI/UX & branding)

  • Team Members: Ling Ye, Yifang Chen, Zhaoqi Chen

 

Problem

With the rise of Social Media, Visual Branding becomes increasingly important.

Individuals need new styles and aesthetic photos to demonstrate personality.

Small business owners and individual sellers need aesthetic photos with consistent style to establish brand image and boost visits or sales.

Why current solutions don’t work

Why current solutions don’t work

 

Solution

This is how Pixie works:

Artists/Influencers create styles and monetize on its usage. Users purchase the styles to edit photos.

In other words, we are trying to copyright styles.

Here are some detailed features (UI designed by me):

 

Technology

Pixie uses machine learning as its core technology.

(By Yifang Chen & Zhaoqi Chen)

Detailed Machine Learning Flow

Result 1

Result 2

Pixie’s tech innovation

Pixie’s tech innovation

 

Business

We did the following user research and market validation (by Ling Ye and me):

Screen Shot 2018-11-25 at 7.24.16 PM.png

The results validated us to go for this business model:

Screen Shot 2018-11-25 at 7.24.18 PM.png

Here is why Pixie would stay competitive in the current photo market:

Screen Shot 2018-11-25 at 7.24.20 PM.png
 

Branding

Here is a mood board did by me to capture Pixie’s brand voices, as well as the final Pixie logo:

moodboard.png
Screen Shot 2018-11-25 at 7.46.43 PM.png
 

UI/UX Design

Since I already showed the final UI in the previous pictures, here I will show some UI/UX design processes did by me and Ling Ye:

Low-Fi flow chart

Low-Fi flow chart

Med-Fi flow chart

Med-Fi flow chart

 

For the full interactive mockup, please check the following link.

 

Team

Screen Shot 2018-11-25 at 7.24.25 PM.png

A huge thanks to our team for making this happen!