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Route prediction Model

Route prediction Model

Route prediction Model

User Interface

User Interface

User Interface

Back-end Development

Back-end Development

Back-end Development

MBUS Transportation | University of Michigan

MBUS Transportation | University of Michigan

MBUS Transportation | University of Michigan

A system that allows users to track the location and estimated arrival of buses in real-time

A system that allows users to track the location and estimated arrival of buses in real-time

A system that allows users to track the location and estimated arrival of buses in real-time

I focused on

Code Output & Design Mockups

I focused on

Code Output & Design Mockups

I focused on

Code Output & Design Mockups

Using

Python & Figma

Using

Python & Figma

Using

Python & Figma

From

October 2023 - December 2023

From

October 2023 - December 2023

From

October 2023 - December 2023

With

2 Developers

With

2 Developers

With

2 Developers

1

1

1

The Problem Statement

The Problem Statement

The Problem Statement

“Users need a dependable, 
easy-to-navigate system that 
provides real-time information to 
travel effectively and arrive at their destinations on time.”

“Users need a dependable, 
easy-to-navigate system that 
provides real-time information to 
travel effectively and arrive at their destinations on time.”

“Users need a dependable, 
easy-to-navigate system that 
provides real-time information to 
travel effectively and arrive at their destinations on time.”

2

2

2

The route prediction data was complex but I knew it needed a visual home. By focusing on user interface design, I turned complicated bus patterns into simple screens- making campus transit as easy as checking your phone

3

3

3

Action

Action

Action

Screens

4

4

4

5

5

5

Taking MBUS to the next level could mean integrating live crowdedness tracking, campus alerts, and AI-powered route suggestions that adapt to students' Canvas schedules. Implementing dark mode for Gen Z users and streamlining UI integration would create a more responsive campus transit experience

Here is the full case study

There is so much to explore

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