Breno Viana's Projects
NEAR is a Web Service that provides operations related to a chat with simultaneous translation of messages context.
Omega is a multi-user chat that performs simultaneous translations and was developed with Java RMI.
This repository stores the solutions of the exercises of the course "Object Oriented Programming - Developing a Strategy Game using C++" of PET-CC UFRN.
Pope is a bot created to play a simplified version of the game "Papers, Please". The name of this AI was given in honor of the game creator Lucas Pope.
RAIN is a 3D image renderer running on the CPU made from scratch. This renderer uses Ray Tracing technique and implements KD-Tree and multithreading to optmization.
RITA (Rapid Interaction Assistant for Tasks) is a voice-controlled virtual assistant that performs home automation for people with visual disabilities.
Roller Coaster is a Concurrency Programming course project.
This repository contais code of the book 'Rust By Example' (https://doc.rust-lang.org/stable/rust-by-example/).
Implementing Rosetta Code problems in Rust.
a rusty `scanf` (`scan!`) and inverse of `print!` (`read!`)
Rust Book Final Project: Building a Multithreaded Web Server.
SaSINFRA allows the employees of the Infrastructure Superintendence to schedule cars for work visits, as well as schedule auditoriums for possible meetings and project submissions.
Set is an imperative programming language with focus on teaching mathematics, therefore, it is aimed at teachers and students. The language handles sets as one of the primitive types.
Android projects from the course of Mobile Development of Federal University of Rio Grande do Norte.
Supply Challenge is a Concurrency Programming course project.
A minimalist Jekyll theme, ideally designed for your academic site.
Understand Me is a multi-user chat that performs simultaneous translations using the Google Cloud Translation API and was developed using sockets.
Unisex Bathroom is a Concurrent Programming course project.
Rust solutions for CodeChef and UVa problems.
Image Processing Coursework: Investigating the Impact of Using Image Processing Techniques in Chest X-Ray images for COVID-19 Diagnosis via Deep Learning.