Tutorial to install Debian virtual machine with functional WordPress site with the following services: lighttpd, MariaDB, PHP and Litespeed.

my website

Vulnerable API for educational purposes

Proyecto Mi Campus: una web App, que ayuda a gestionar notas y asistencias.

Bibliotecas para el diseño de placas de circuito impreso (Printed Circuit Board, PCBs)

MoodleNet Project

Software package for data acquisition

My solutions to the exercises in K&R 2 ("The C Programming Language" 2nd edition by Brian W. Kernighan and Dennis M. Ritchie). Work In Progress.

This portfolio intends to practice my React JS skill. For educational purposes only.

Axcelmark Applications Site for FBLA 2023-2024

Accepted LeetCode Solutions. 606 Solved. 16,893+ lines of code. Ranked in top 1.2% by problems solved.

Kmean on real dataset

Web App for admin and client for Managing and assigning course outlines and training programs.

This e-classroom platform, built with HTML and CSS, offers a user-friendly interface for students to manage assignments, access teachers' uploads, message faculty, and track courses. This frontend-only solution streamlines educational tasks and fosters better communication, enhancing the overall learning experience.

This project involves the analysis of stream learning techniques for stock price forecasting using the River library.

This project involves an exploratory analysis of the capabilities of Variational Autoencoders (VAEs) and Wasserstein Generative Adversarial Networks (WGANs) for image generation. The CelebA dataset is utilized for training and evaluating the models. The aim is to understand the strengths and weaknesses of VAEs and WGANs.

This project involves an exploratory analysis of the capabilities of Recurrent Neural Networks (RNNs) for both classification and regression tasks. We use two distinct datasets: one for a regression problem and the other for a classification problem. The aim is to understand the effectiveness of RNNs in handling sequential data.

This project involves an exploratory analysis of the capabilities of Convolutional Neural Networks (CNNs) for image classification, using a dataset of animal images. The goal is to understand how well CNNs can distinguish between different types of animals based on their images.

A research-based educational project about eco-activism 🌿