This repository contains public source files for use in CSE240 (Introduction to Programming Languages) at Arizona State University.

Quarto template/extension for a Arizona State University thesis

🥇 Principled Innovation Hackathon Winner: Mine Alliance - Reinventing a sustainable Future for Arizona Mining Industry

📚 CSE360: A tailored help platform delivering relevant, personalized academic information for ASU students.

ASU Class Notifier was created to help Arizona State University students know when space has opened up in an impacted class.

Two blockchain projects: An ERC-721 NFT contract on Polygon Mumbai and a Hyperledger Fabric supply-chain chaincode.

Serverless face recognition pipeline on AWS (EC2, Lambda, S3, SQS, auto-scaling).

Texture applied 3D Avatar "Cursed Dog" based on webGL program, Computer Graphics, Arizona State University, 2021 Spring Semester

This is my final project in my FSE 100 class at Arizona State University. In this project we had to build a robot using the lego EV3 kit. We then used MATLAB to help the robot autonomously solve the maze while also picking up a cardboard person and dropping them off in the drop off zone.

ASU CSE 551: Foundation of Algorithms Programming Assignment

COVID-19 Mental Health Analysis Team Project for a Python Course at Arizona State University (CIS 591)

Machine Learning pipeline for financial transaction fraud detection. Incorporates SMOTE, ensemble models, neural networks.

Flight Manage Application based on Java, MySQL server, MySQL JDBC driver, Database Management, Arizona State University, 2021 Spring Semester

convert and monetize your kinetic energy from walking or running into electrical power with our innovative wearable charger. MakeHarvard 2024: Runner Up.

CSE 565: Software Verification and Validation @ Arizona State University

Big Data analysis on Yelp reviews/businesses for Arizona. Using Hadoop, Spark, PySpark.

CSE 575: Statistical Machine Learning Project - Sentimental Analysis on Twitter @ ASU

Introduction to Programming Languages

This visualization uses a dataset of superheroes and their attributes to create an interactive experience for exploring the relative strengths and characteristics of various characters.