Technical & Automation Projects
This is a dynamically updated list of our technical projects and code repositories, including AI prompt tools for education, maintained directly through GitHub.
ai-in-education
Designing scalable AI prompt architectures for diverse learning contexts, from K-12 chemistry scaffolding to undergraduate research assistance. This project validates custom prompts that maximize student self-efficacy, minimize factual error, and provide equitable linguistic support across educational levels.
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Quantitative Market Analysis (QMA) is an open-source project for logging and analyzing options trading strategies. It uses a Jekyll front-end and a simple JSON data file to track market data. Designed for educational purposes, it provides a lightweight, self-hosted solution.
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