This GitHub repository hosts a Python implementation of the classic game of checkers (also known as draughts) with an artificial intelligence opponent. The AI player is powered by the minimax algorithm with alpha-beta pruning, making it a formidable adversary for players looking to challenge their skills.

This repository presents the Tree-Based Search project developed by our group, Jupyter. The core objective is the implementation and comparative analysis of various search algorithms to determine the optimal path from a defined starting point to a destination.

scholar-classifier is a repository for Tugas Besar 2 IF3170 Artificial Intelligence (2025/2026). This project implements three classification algorithms from scratch: ID3 Decision Tree, Logistic Regression, and SVM. All models are built manually without any machine learning libraries, using only NumPy.

The Asynchronous Advantage Actor Critic (A3C) algorithm is one of the newest algorithms to be developed under the field of Deep Reinforcement Learning Algorithms. This algorithm was developed by Google’s DeepMind which is the Artificial Intelligence division of Google. In this repository, I have my implementations of A3C on Cartpole game, Robot arm, etc.