ethan@etonkabonk:~/projects$

Description: .

Tech Stack: Python, flask, HTML, CSS, Javascript, MariaDB, Redis, MongoDb, Neo4j

Description: Using an existing codebase, my team and I developed an internal donation fundraiser managment and communications web application. This project features automatic statistical analysis of finance and donation information, fundraiser management and planning solutions, storage solutions through dbs, and an AI email generator for thanking donors.

Tech Stack: Python, PHP, CSS, Javascript, MySql

Description: A comprehensive technical design suite for a Donation Management System built for Rappahannock CASA. These documents detail the full system architecture, including High-Level and Low-Level Data Flow Diagrams (DFDs), Entity-Relationship Diagrams (ERDs) for the SQL database, and Sequence Diagrams for key processes. The design bridges a PHP frontend with a Python-based data analysis backend.

Description: A comprehensive System Requirements Specification (SRS) defining the architectural scope of the CASA Donation Management Application. This document details Use Case Specifications and Process Workflows for core system modules, including LLM-integrated automated outreach and quantitative/qualitative data analysis. It establishes critical non-functional requirements for ADA accessibility and data integrity, serving as the technical blueprint for the system's development.

Description: A full-stack web application hosting a custom model for predicting stock performance against the S&P 500, trained using a data from the SEC.

Tech Stack: Python, Pandas, HuggingFace Spaces, SEC api, Vercel, Clerk, Drizzle, Supabase, Logo.dev, Javascript, HTML, TypeScript

Authors: Ethan Bostick, Landon Gaboury, Caleb Lineberry, Garrett Mckenzie

Description: A custom model architecture designed by our team.

Description: Code base for our web application.