Graduate level Artificial Intelligence coursework

An AI playing Gomoku 15x15 using Negamax algorithm, NegaScout algorithm, Zobrist Hashing, Null Window written in C++

Course work for SSU's CS480 which is a survey of techniques that simulate human intelligence.

Implementation of MinMax Algorithm.

Artificial Intelligence I course mid-quarter project - autumn 2020

Implementation of different graph algorithm using C++.

Algorithms Coded in C++ Language.

Solving Game of 8 puzzle using differint AI search algorithms BFS, IDS, and A*. The purpose of this project is compare the time and space complexity for different search algorithms.

Solving a brick puzzle with different search algorithms

Count the leaf nodes

Problem solving using iterative deepening depth first search.

Solving the Rubik's Cube using three different search strategies including Iterative Deepening Search, A Star Search, Iterative Deepening A Star Search. The searches were compared in terms of: Number of nodes expanded and Optimality.

Creating an "AI" using minimax algorithm to never lose at Connect4

First project developed for Artificial Intelligence class

♟️ Ataxx [2 Player Console Game]

A chess playing program written in C++, This will include some AI search algorithms and Game theory algorithms as it progresses.

A MinMax based Othello/Reversi AI for 8x8 & 10x10

Chess engine based on min-max algorithm, iterative deepening and transposition tables

A UCI-compatible Chess Engine written in C++20 with an Android and WearOS Interface