Projects
Game Boy Emulator
A Game Boy emulator made in Rust. This is a WIP project whose goal is to make an emulator in Rust that is able to run games intended for the Nintendo Game Boy system, with a web frontend written in JavaScript. This project is for my own study purposes, as a way to learn more about how CPU's and computer hardware works, and as a way to become more familiar with Rust.
Deep Q-Learning with DOOM
A machine learning agent that utilizes Deep Q-Learning to play the videogame DOOM. Implementation of a basic Deep Q-Network based off of a 2013 Deepmind paper presented at the 2013 NIPS Deep Learning Workshop. Utilizes the open-source ViZDoom platform to train on.
Coffee Bean Quality Prediction Analysis
This is a Jupyter Notebook project that analyzes and predicts coffee bean quality. Each coffee bean has been evaluated and given taste scores in eleven different categories. Ten of them are different specific aspects of the coffee, such as aroma and acidity, all rated out of ten. The last category is the total taste score, which is the sum of all the other category scores, and is out of 100. The objective is to use the Naive Bayes classifier to classify a cup of coffee as either good or bad, where "good" is defined as an above average total taste score. The last part of this project tests linear regression on the dataset and builds a graph of which countries have the best coffee.
Rust Chip8 Emulator
A Chip8 Emulator made in Rust. This project runs .ch8 files made for the Chip-8 programming language. This is a beginner project in both Rust and emulation, and I intend to pursue more Rust systems programming projects in the future.