Artificial intelligence that plays Draughts game

An implementation of the bejeweled game logic with several minmax-based player AIs

Implémention des algorithmes MinMax, AlphaBeta et MCTS au jeu du puissance 4 en python.

It is a tic-tac-toe game written in python using the pygame framework and the computer AI is implemented using the minimax algorithm

Feed Forward Neural Network to classify the FB post likes in classes of low likes or moderate likes or high likes, back propagtion is implemented with decay learning rate method

This repo is all about implementing tic-tac-toe ai built using min-max algorithm.

AI team project — Domineering board game AI engine — Python • Game state evaluation heuristic • Alpha-beta pruning • Move ordering • Transpositon table • Zobrist hashing

The Dragon Queen is a game played on a board with 5 columns and 5 rows. One player (Player 1) controls the Queen, who has three Dragon protectors. The other player (Player 2) controls 5 wights (a.k.a zombies).

AI connect4 agent using MIn-Max algorithm and BitBoards

Automated Car with Reinforcement Learning. Learning is done using penalty and rewards.

This project provides an introduction to data analysis using Python.

Final project for my python class & a little bit mix of AI

An artificial intelligence for the game of Othello (with a grid of 10x10) in Python. Multiples approach used, A-B, multi-threading, bloom's filter, ...

Artificial Intelligence Projects

AI in game Domineering

Implementation of min max algorithm on simple tic-tac-toe based game

This is a modified version of the classic checkers game created for academic purposes as a project for the AI Laboratory. The game introduces unique features, including vertical piece movements , special power pieces such as archers, king, and hero. The AI is implemented using the Min-Max algorithm with a depth level of 3 for strategic gameplay.