This is a fully fledged 2 or 1 player tic-tac-toe game written in TypeScript using Ionic Framework.

Artificial Intelligence projects at University of Tehran; Fall01

Repository untuk menyimpan daftar project yang saya buat🙌

BFS, IDS, A*, Genetic algorithm for math equality, Minimax for Sim game, Naive Bayes for news classification, Machine Learning and Neural Networks.

An implementation of Minimax, Alpha-Beta and Monte-Carlo Tree Search to play Connect 4

A Python implementation of the classic Connect Four game featuring an intelligent AI opponent powered by the Minimax algorithm with alpha-beta pruning.

Browser-based chess engine with alpha-beta minimax AI, 100+ position opening book, live evaluation bar, and full legal move generation. Zero dependencies. Single HTML file. Open and play instantly.

Artificial Intelligence Course Projects, University of Tehran

Python Tic-Tac-Toe game with Random AI and Minimax AI

dichotomy minimization method

Web interface for a Connect-4 AI built in Common Lisp with minimax α-β pruning

Looking for a quick game? Play Tic-Tac-Toe online! Challenge your friends or test your skills against our AI. Enjoy endless rounds of this classic favorite.

This repository contains all artificial intelligence course projects.

AI class projects at UC Davis

Othello / Reversi game in Python with AI opponent which is implemented by MiniMax algorithm, pygame GUI, and standalone Windows executable.

Minimax Algorithm in Othello game

Tic Tac Toe V1 is a classic implementation of the Tic Tac Toe game developed using HTML, CSS, and JavaScript with AI powered using Mini-max algorithm.

This project implements an AI to play Tic-Tac-Toe optimally using the Minimax algorithm.

A browser-based Tic Tac Toe game where a player competes against a bot. The game uses the Minimax algorithm for the bots choices, while visual indicators and sound effects enhance the experience. It also includes local multiplayer mode.