Interactive Algorithm Visualizer for Real-Time Learning & Analysis

Interactive Algorithm Visualizer for Real-Time Learning & AnalysisInteractive Algorithm Visualizer for Real-Time Learning & Analysis

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samah aziz

• May 9

An educational desktop application designed to visualize, analyze, and benchmark complex algorithms and data structures in real-time. This interactive tool helps students and developers easily grasp core computer science concepts by converting abstract code into clean, dynamic, and step-by-step visual animations.

Key Features:

Real-Time Sorting Visualization: Features step-by-step interactive animations of classic sorting algorithms (including QuickSort, MergeSort, and BubbleSort), allowing users to track array swaps and state changes.

Dynamic Graph & Pathfinding Simulation: Implements interactive nodes and edges to visualize graph traversal and pathfinding algorithms (such as Dijkstra, BFS, and DFS) dynamically.

Complexity Benchmarking: Generates performance comparison charts to analyze and illustrate the time and space complexity ($O(n)$ notation) of different algorithms on custom inputs.

Hybrid High-Performance Architecture: Combines high-performance C algorithmic backends with Python's versatility to ensure instantaneous calculation and rendering.

Intuitive User Interface: A clean, user-friendly graphical interface with control inputs (play, pause, step-by-step, speed adjustment, and custom dataset generation).

Tech Stack:

Programming Languages: Python, C

Libraries & Frameworks: Python GUI Libraries (Tkinter / PyQt), Matplotlib (for visualization and rendering)

Core Skills Shown: Object-Oriented Programming (OOP), Algorithmic Optimization, Memory Management, Human-Computer Interaction (HCI) design.

Why this project stands out:

This project showcases my ability to bridge high-performance low-level logical backends (C) with interactive frontends (Python), creating practical, optimized, and educational desktop tools.

Software Development UI Design UX Design Git Python Matplotlib

Talia Przybyszewski

pro

• May 27

AREA is a fictional creative technology studio exploring how AI-native workflows can shape modern digital identity design.

I used Google Stitch to explore and refine the brand direction through typography studies, interaction concepts, motion systems, colour exploration, and in-place AI edits before rebuilding the final experience in Next.js with Framer Motion and deploying it on Vercel.

The final site focuses on cinematic pacing, editorial restraint, atmospheric motion, and immersive interaction design inspired by modern creative studio websites.

Live Site: https://area-snowy.vercel.app

Stitch was strongest as a rapid creative direction and identity exploration tool. The in-place editing workflow made it easy to iteratively refine layouts, spacing, typography, and atmosphere while maintaining creative momentum.

The workflow became most powerful when paired with production tooling, using Stitch to establish the creative system first, then translating the final direction into code for deeper interaction and motion refinement.