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Swift Student Challenge 2025 - (Not) Lost (WINNER)

An interactive educational playground that visualizes pathfinding algorithms through engaging character-driven scenarios. This project was created for the Swift Student Challenge 2025, demonstrating the power and beauty of algorithms through intuitive visualization.

App Overview

Project Overview

(Not) Lost is an educational app that makes learning pathfinding algorithms fun and interactive. Users can choose their character and help them find their way through various mazes while learning about different pathfinding algorithms:

  • Depth-First Search (DFS)
  • Dijkstra's Algorithm
  • A* (A-Star) Algorithm

Character Selection Alogirthm Selection

Key Features

🎮 Interactive Visualization

  • Real-time visualization of pathfinding algorithms
  • Adjustable animation speed for better understanding
  • Interactive grid where users can place walls to create custom mazes
  • Randomize feature to generate different maze configurations

👾 Character Selection

  • Choose from different characters, each with their unique objectives
  • Personalized experience that makes learning more engaging

🎵 Audio Feedback

  • Sound effects for interactions
  • Background audio that enhances the user experience
  • Success and failure sounds for immediate feedback

Technical Implementation

Pathfinding Algorithms

  1. Depth-First Search (DFS)
    • Explores as far as possible along each branch before backtracking
    • Visualizes the active branch during exploration

DFS Visualization

  1. Dijkstra's Algorithm
    • Finds the shortest path between nodes in a graph
    • Visualizes the expansion of the search area

Dijkstra Visualization

  1. A (A-Star)*
    • Uses heuristics to guide the search towards the goal
    • Combines actual distance and estimated distance to goal

A* Visualization

Built With

  • SwiftUI
  • AVKit
  • Observation

Created with ❤️ for the Swift Student Challenge 2025

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An interactive educational playground that visualizes pathfinding algorithms through engaging character-driven scenarios.

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