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🚗 AI-powered Rush Hour puzzle solver with Pygame GUI. Features BFS, DFS, UCS & A algorithms to solve traffic jam puzzles. Compare AI performance metrics, play manually, or watch automated solutions. Educational tool for learning search algorithms.
In this algorithm, I have written a module which is consist of a couple of main searching algorithm that has been implemented on the 8 puzzle problem as default.
Proyecto Transmilenio para buscar la mejor ruta entre multiples estaciones usando algoritmos de busqueda de Inteligencia Artificial progrmado en Python
This is phase 1 of my AI project. By using different search algorithms ( DFS, BFS, UCS, A*), I tried to make Pacman do better in eating all the nodes and be alive.
In this project I had to compare 3 algorithm's on the bases of there execution time. There are 3 AI algorithm's which were assign to me in these algorithm's two are uninform and one is inform. And the names of the algorithm's are: 1-DFS, 2-UCS, and A*
Projeto criado para disciplina Inteligência Artificial, Com objetivo de calcular uma rota entre os dois pontos usando os seguintes algoritmos: ○ Busca em Largura ○ Busca em profundidade (podendo ser o limitado) ○ Busca de custo uniforme ○ A*
A visual Maze Solver built with Python and Tkinter that compares multiple AI pathfinding algorithms (DFS, BFS, UCS, A*) side-by-side. It generates random mazes and visualizes the solving process with execution time comparison in microseconds, offering an interactive and educational look into algorithm efficiency.