Case Study
AlgoSpace
Interactive computer science visualizer with animated algorithm playgrounds and step-by-step learning flows.
- 24DSA topics covered
- 6weeks concept to build
- 3practice modes
- 40+UI components
Learning topics
Topics are grouped by data structures, sorting and searching, graphs and trees, recursion and dynamic programming, each one opening into a guided path.
Visual learning
Every step of an algorithm is drawn as a state: pointers, comparisons, and swaps are highlighted so the logic can be followed without reading code first.
Interactive practice
The practice lab turns passive reading into a loop: run a trace, predict the next state, then check the result. Progress is tracked per topic, and each session ends with the states a learner got wrong.
Learning method
Structure first, then repetition. The method section explains the order topics should be taken in and how much practice each one needs before moving on.
Study use
Built for interview preparation and coursework alike, with short sessions that fit between classes and longer paths for full topic coverage.
Scope
Product structure, visual system, and frontend implementation, delivered as a working build with a component set ready for new topics to be added.