m.MAHESH
DEVELOPER & THINKER

02 / Project case study

AlgoSphere

An interactive learning platform for classic algorithms and data structures, featuring multi-language code viewers, performance tables, and Big-O visualizations.

React / TypeScript / Vite / TanStack Router

Overview

The problem.

Students and developers need a centralized, structured way to learn and reference algorithms across multiple programming languages. Without organized visual aids and side-by-side code comparisons, understanding algorithmic patterns and complexity becomes difficult.

The approach.

A React + TypeScript SPA that presents algorithms with multi-language code implementations (Python, Java, JavaScript, C++), interactive performance tables, and SVG-based Big-O complexity charts, all organized through intuitive routing and responsive design.

What the project focuses on.

  • Multi-language code viewer with syntax highlighting
  • Sorting algorithm performance tables
  • Data structure operations reference
  • SVG-based Big-O complexity chart
  • Route-driven navigation (Fundamentals, Core, Advanced)
  • Responsive mobile-first design
  • Global search functionality
  • Code snippets for every algorithm

Screenshots

AlgoSphere learning platform screenshot
AlgoSphere's main interface featuring organized learning paths and a global search function, with quick access to simplified algorithm implementations and data structure examples.
AlgoSphere learning platform screenshot
A HashMap implementation displayed in AlgoSphere's code viewer, showing core methods including put(), get(), and remove() with bucket-based collision handling.

Engineering notes

A problem worth understanding.

Challenge
Displaying the same algorithm across multiple languages required loading raw source files with proper syntax highlighting.
Cause
Inlining code strings or creating separate components per language led to duplication and maintenance overhead.
Solution
Built a reusable `CodeTab` component using Vite's `?raw` loader and `react-syntax-highlighter` for side-by-side language comparison.
Result
Clean, maintainable code presentation with automatic highlighting across 4 programming languages.

The engineering focus.

The engineering focus is building a scalable front-end architecture that presents complex algorithmic concepts through reusable components, visual aids, and multi-language comparisons, making computer science education accessible and engaging for learners.

What I took away.

  • Design reusable React components that handle multiple data sources and rendering modes.
  • Leverage build-time tools (Vite's `?raw` loader) to import non-JS assets as strings for display.
  • Structure a TypeScript SPA with file-based routing for scalable navigation.
  • Create visual educational aids (tables, charts) that complement code examples.
  • Balance developer experience (ESLint, Prettier, Vitest) with user-facing polish.
  • Use Tailwind CSS for consistent, responsive styling across components.

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