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01 // OVERVIEW
Wumpus World AI brings the classical artificial intelligence agent grid-problem into an interactive tkinter interface, visualizing path planning and environment sensing.
02 // THE PROBLEM
Standard academic implementations of the Wumpus World are static or strictly text-based, making it hard to inspect agent perceptions of breeze, stench, and glitter.
03 // THE BUILD
Engineered in Python using tkinter for canvas-level updates, binding an A* heuristic pathfinder to drive logical exploration decisions based on current grid states.
04 // ARCHITECTURE
Agent keeps an internal grid map updated on each tick. It runs safety analysis on adjacent cells and executes the optimal safe path toward the glitter.
05 // CHALLENGES
Representing and updating dynamic agent status and heuristic values visually without causing input lag on tkinter canvases.
06 // RESULTS
A complete, clean desktop simulator executing safe routes across random grid configurations reliably.
07 // LESSONS
Deepened mastery of logic-based knowledge representation, path planning heuristics, and GUI state updates.
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