Work
AlgoViz
AlgoViz Coach is an interactive algorithm learning platform that transforms complex coding problems into visual, step-by-step explanations. Using AI-powered analysis, it generates comprehensive solutions with interactive visualizations perfect for mastering algorithms and preparing for technical interviews.
| Year | 2025 |
| Tech Stack | Next.js 14, React 19, TypeScript, Tailwind CSS, OpenAI GPT-4 |
| Website | algoviz.lat |
Learning algorithms can be challenging when you're stuck with static explanations and code snippets. AlgoViz was built to bridge this gap by providing interactive, visual explanations that make complex algorithms intuitive. Whether you're preparing for coding interviews or simply want to understand how algorithms work under the hood, AlgoViz transforms abstract concepts into tangible, visual experiences.
Challenge
Understanding algorithms from text-based explanations alone can be difficult, especially for visual learners. Traditional learning resources often lack interactive elements and real-time feedback, making it challenging to grasp complex algorithmic concepts and their execution flow.
Action
AI-Powered Analysis
The core of AlgoViz leverages OpenAI's GPT-4 to analyze LeetCode-style problems and generate comprehensive Python solutions. The AI doesn't just provide code—it breaks down the approach, explains the logic, and creates step-by-step execution paths.
Interactive Visualizations
Using custom SVG implementations and @visx libraries, each algorithm is rendered with interactive visualizations. Users can step through the execution, see data structures transform in real-time, and understand exactly how their code manipulates data.
Responsive Learning Experience
Built with Next.js 14 and React 19, the platform provides a seamless experience across devices. The responsive design ensures that complex visualizations remain clear and interactive whether you're on desktop or mobile.
Technical Implementation
The platform uses Zustand for efficient state management, allowing smooth transitions between algorithm steps. TypeScript ensures type safety throughout the visualization pipeline, while Zod schemas validate user inputs and API responses for reliable operation.
Result
AlgoViz has successfully made algorithm learning more accessible and engaging. The platform supports various data structures including arrays, trees, and graphs, with an intuitive chat interface that allows users to ask follow-up questions and dive deeper into algorithmic concepts.