This source code (in Python) is a preliminary implementation of my quadratic-time positive integer matrix multiplication.

Developed advanced algorithms (A*, Markov Decision Process, Reinforcement Learning, and Machine Learning) to optimize Pac-Man’s path in the maze for efficient pellet collection while evading ghosts.

This repository contains implementations of various algorithms to solve the Minimum Spanning Tree (MST) problem.

This repository contains implementations of algorithms designed to find the minimum cut in a graph.

Implementations of classic graph algorithms across three assignments

A* Path Finding Algorithm designed & implemented with manhattan hieuristic & visualized through pygame.

This repository contains implementations of various algorithms to solve the Travelling Salesman Problem (TSP).

Explore reinforcement learning algorithms and environments, from classic to deep learning methods.

This project is an improved version of the traditional Huffman coding algorithm, by using dynamic trees that can be re-coded if the frequency of a symbol changes. This was done as my project work for my Advanced Algorithms class during my MPhil.

Repositorio recopilatorio de las actividades realizadas en la Unidad de Formación: Análisis y diseño de algoritmos avanzados del Tecnológico de Monterrey durante el periodo de Agosto-Diciembre 2022.

Principles & Applications of Artificial Intelligence Project Fall 1400 AUT

This project implements five algorithms—linear search, binary search, hashing, Bloom filter, and Cuckoo filter—to solve the Login Checker Problem. It also includes a numerical comparison of their performance in terms of time complexity.

Lab exercises for the Advanced Algorithms course (2nd semester, 2nd year - FMI UniBuc)

Análisis y diseño de algoritmos avanzados

Problems solved of online judges

Assignment from the course "Advanced Algorithms" - Finding the height of a tree.

A gesture-controlled robotic arm powered by computer vision. Using a webcam and cvzone for hand tracking, finger movements are converted into binary signals and sent to an Arduino Uno. The Arduino interprets these signals to control servo motors, eliminating the need for external sensors or gloves.