An educational desktop application designed

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.