There are 1 repository under ai-algorithm topic.
Self project Evo Pawness (Temporary Name)
Some basic AI/ML/DL algorithms implemented from scratch for understanding purposes.
A Python based AI ML package for generating the best matching text from a paragraph for a given keyword/sentence.
This is a game AI project for the course "Artificial Intelligence" at the University of Calabria, Italy.
AI algorithms visualization made with Rust
Chineese-checker game by minmax algorithm and alpha beta algorithm
a python program thart uses genetic algorithm to find max point of y = sin(10Πx)+2
This project leverages OpenCV and Mediapipe for real-time pose detection, transforming a workout into a tech-driven exercise. Users perform 16 pullups on each arm, tracked by angle detection algorithms. The system visualizes angles and counts, enhancing engagement and accuracy in physical health routines.
my first game using Artificial Intelligence(min-max algorithm)
Visualization Of Various AI Algorithms
Implemented Dijkstra, BFS, Greedy BFS Algorithms using HTML5, CSS, Javascript
Wa'el Engineering Project Repository
This is a chain of discussion, where models think and discuss in a 2-round mode before outputting an answer
2025 - Implémentation de l’algorithme GraphPlan (projet d’intelligence artificielle).
C++ program implements Sokoban game to solve it with AI reinforcement algorithm (Q-learning ALG).
C++ implementation of the Q-Learning algorithm applied to a simple grid world problem
In this project I had to compare 3 algorithm's on the bases of there execution time. There are 3 AI algorithm's which were assign to me in these algorithm's two are uninform and one is inform. And the names of the algorithm's are: 1-DFS, 2-UCS, and A*
This script is an exemple of the usage of knn algo. It will able to you to build you own script based on this.
This Python app with tkinter creates an N-Puzzle game using AI algorithms, including global and local search, for evaluating effectiveness.
This is a Python-based Tic Tac Toe game using Tkinter, featuring both single-player mode (against an AI) and multiplayer mode. The game tracks player statistics such as wins, losses, and draws, and highlights the winning line. The AI uses the Minimax algorithm to make optimal moves for an engaging solo experience.
The Anti-Dump Algorithm is designed to evaluate and filter out unproductive or irrelevant input, commonly referred to as "noise," while prioritizing clarity, effort, and context. This algorithm measures the quality of input based on several key parameters with the ADI.
My mini-projects for practical learning machine learning course on the Udacity
Levels of implementing pack-man game using AI algorithms
🛍️ Amazon Recommender 🚀 Exploring machine learning for e-commerce personalization with Amazon's Electronics data, using SVD and KNNBaseline algorithms to predict user preferences.
Tic-tac-toe implementation using minimax algorithm with alpha-beta pruning.
Game Tic Tac Toe by using SFML libraty
Clean, minimal Tic Tac Toe game with AI opponent and sound effects
This game is powered by a new custom hybrid AI algorithm designed and implemented by me, combining multiple existing AI techniques into a novel decision-making system for enemy agents. It was originally developed as part of my undergraduate thesis in 2016, and now restructured for commercial and educational presentation.
Python implementation of Iterative Broadening Search (IBS) on a maze.
CreditGuard addresses this pressing challenge by introducing a data-driven, intelligent risk evaluation system that enhances the precision of loan default predictions. By leveraging diverse data sources and advanced machine learning techniques, the project seeks to create a more inclusive and accurate credit assessment framework.
Your first implementation of a machine learning algorithm. Predicting the price of a car by it's milage
i used NSGA-II algorithm (genetic algorithm) in python for finding the best maintaining schedule of Units within 4 intervals
Implementation of breadth-first search algorithm
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