Build a Functional Image-Filter Pipeline for a Photography SaaS
Overview
What this challenge is about.
Design a Filter as a function from (pixel matrix → pixel matrix). Build a compose helper that takes a list of filters and returns a single composed filter (function composition). Implement 6 sample filters as pure functions on a numpy array (or equivalent typed-array structure in TypeScript). Build a demo CLI / browser harness that applies a user-specified filter chain to 8 test images (provided). Measure each filter's runtime per megapixel. Deliver source, the demo, runtime measurements, and a 4-page architecture write-up covering the composition pattern and how a new filter would be added (target: under 30 lines of code).
The Brief
What you'll do, and what you'll demonstrate.
Build a compositional image-filter pipeline using higher-order functions plus 6 sample filters, with measured per-megapixel runtime.
Earning criteria — what you'll demonstrate
- Apply function composition as a real architectural pattern
- Build a domain abstraction (Filter) that composes cleanly
- Reason about per-pixel runtime cost of pure-function filters
- Document an architecture so adding new behavior is cheap
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
Careers
Roles this prepares you for.
Real titles. Real skill bridges. Pick the one closest to your trajectory.
Career mappings coming soon.