Build a Real-Time Operations Wall Display for a Logistics AI Startup
Overview
What this challenge is about.
Build a Real-Time Operations Wall Display for a Logistics AI Startup. Intermediate challenge in code. Writing production code that solves real engineering pr...
The Brief
What you'll do, and what you'll demonstrate.
Build a glanceable real-time wall display that a warehouse manager can read at a 4-meter distance with no interaction needed.
This is not a coding exercise. It is the work a software engineer does between a Jira ticket and a merged PR. That distinction matters to every hiring manager who has seen candidates solve LeetCode problems and none who have shipped production code under real constraints.
When you finish, you will have something most graduates do not: a real-world deliverable, verified by Ewance, that you can show to a hiring manager and say "I did this. Here is the proof."
Earning criteria — what you'll demonstrate
- Design for glanceability at typical wall-display distances
- Use color and shape semantically for operational state
- Build a real-time dashboard backed by streaming data
- Plan for failure modes in always-on operational displays
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Data Visualization
Master · Data Engineering
Strong alignment
This challenge maps to Data Visualization at the Master level. It sharpens the same practical skills your coursework expects — but in a real industry context with actual constraints and deliverables.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Realtime Visualization
Apply realtime visualization to solve real industry problems and demonstrate production-level capability.
- Glanceability
Apply glanceability to solve real industry problems and demonstrate production-level capability.
- D3
Apply d3 to solve real industry problems and demonstrate production-level capability.
- Websockets
Apply websockets to solve real industry problems and demonstrate production-level capability.
- Dashboard Design
Apply dashboard design to solve real industry problems and demonstrate production-level capability.
- Color Design
Apply color design to solve real industry problems and demonstrate production-level capability.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these roles:
AI Product Designer
Designing physical-context dashboards with hard ergonomic constraints is a niche but valuable AI product designer skill at industrial-AI companies.
This challenge sharpens
- dashboard-design
- glanceability
- color-design
AI Engineer
Wiring real-time ops feeds into operator-facing surfaces is core AI engineer work at logistics, robotics, and infrastructure-AI startups.
This challenge sharpens
- realtime-visualization
- websockets
- d3
AI Product Manager
Scoping a glanceable display with explicit failure modes is the kind of operational-product judgment AI PMs are hired to bring.
This challenge sharpens
- dashboard-design
- glanceability
- realtime-visualization