uniform-cost-search

A visualizer for the core search algorithms used in AI and game development. Special thanks to Amit Patel and his cool tutorials for providing me with the inspiration. #MadeWithUnity

This repository contains implementation of different AI algorithms, based on the 4th edition of amazing AI Book, Artificial Intelligence A Modern Approach

CSE 571 Artificial Intelligence

GraphLab is an application that shows visually how several graph algorithms work

Find the shortest route using A* algorithm and graphs (Route Planner application)

this project combines various AI algorithms to provide visualization and functionality for search algorithms, a game (CONNECT4) using min-max algorithms, and a Constraint Satisfaction Problem (CSP) solver. This toolbox aims to provide a comprehensive understanding of these AI techniques through interactive visualizations and practical examples.

A fine-tuned visual implementation of Informed and Uninformed Search Algorithms such as Breadth First Search, Depth First Search, Uniform Cost Search, A* Search, Greedy First Search

Visualization for multiple searching algorithms.

Implement Algorithms For Graph Search (like A*) & Local Search (like hill climbing algorithms) & Genetics

Uniform Cost Search implementation for Artificial Intelligence course

Desktop app for visualizing graph search algorithms

DFS / BFS / IDS / UCS / Bi-directional / A* / IDA* / SMA* / ...

Implementations of artificial intelligence agents that plays Pac-Man

Robot that cleans room from dirts. Finds the optimum path eventually. Same algorithms are applied as in finding path to escape a maze.

CIT-316 (Artificial Intelligence Sessional)

All Artificial Intelligence Search algorithms. Depth first search, Breadth first search, uniform cost search, Greedy search, A star search, Minimax and Alpha beta pruning. Implemented in Python 3.

Programs developed for CSCI561 Foundations of Artificial Intelligence course

Solves Sokoban Puzzles using A* search, UCS algorithms and heuristic functions

Planning Project Implementation for the Udacity Artificial Intelligence Nanodegree Program

A structured collection of fundamental Artificial Intelligence Search Algorithms implemented in Python with Jupyter Notebooks — complete with pseudocode, working examples, and visual explanations.