Tiny Projects Repository 🛠

Applied AI & Interactive Educational Simulators

Welcome to the tiny project repository! This project contains a collection of standalone, interactive HTML/JS applications, simulators, and resources focused on Applied Artificial Intelligence, Machine Learning pipelines, Prompt Engineering, and AI Ethics.

Originally developed with concepts tied to MIS and Applied AI for Business (featuring frameworks from Prof. Peterson), these tools are designed to make complex AI and cloud computing concepts highly engaging and accessible through gamification and interactive dashboards.

🚀 Repository Contents

1. Interactive Simulators & Games (Previously part of my MIS689: Applied AI for Business class)

• Blue ML Designer Simulator (AeroTerra.html)
  • A drag-and-drop puzzle game where you build Machine Learning pipelines.
  • Manage a virtual budget while selecting the correct Compute targets, Data Preparation steps, ML Algorithms (Classification, Regression, Clustering), and Evaluation metrics to solve specific business tickets.
• SonoWave Data Factory (SonoWave.html)
  • An interactive assembly-line simulator for Azure Cognitive Services.
  • Players drag and drop Language (Sentiment, NER, Translation) and Speech (STT, TTS) workloads onto a moving conveyor belt to process data packets while managing costs and strict Enterprise Compliance rules.
• The Roboso Mandate (Roboso.html)
  • A Phaser.js-powered text adventure/management game.
  • You are the Chief AI Officer at Roboso Medical. Make high-stakes decisions on AI deployments while balancing four critical KPIs: Budget, Morale, Trust, and Compliance. Navigate ethical dilemmas, biases, and data privacy crises.

2. Interactive Guides & Dashboards

• Ethical AI Red Teaming Booklet (redteam.html)
  • An interactive, dashboard-style guide covering the fundamentals of AI Red Teaming.
  • Includes a breakdown of the OWASP Top 10 for LLMs, agentic AI guardrails, persona-based attack scenarios, and a comprehensive Red Team Checklist. Tailored for business leaders and MIS professionals.
• AI Town Fish Tank (ai-tank.html)
  • A sleek, tabbed Interactive Project Guide for building a Generative Agent Simulation on a Raspberry Pi.
  • Features an interactive HTML/CSS system architecture diagram, Pi 4 vs. Pi 5 hardware comparisons, interactive build checklists, and a dynamic Chart.js cost breakdown.

3. Prompt Engineering Frameworks

• Prompting Resources (frame.txt & prompt.txt)
  • Cheat sheets and structured notes on Prompt Engineering frameworks (RCF, APE, RAFT, RISE, STAGES, CLEAR).
  • Focuses on mitigating "Garbage In, Garbage Out" (GIGO) using structured personas, constraints, and formats to build reliable AI inputs.

🛠️ Technologies Used

These projects are designed to be incredibly lightweight and portable. They do not require a complex backend or build process to run.

• Core: HTML5, CSS3, Vanilla JavaScript
• Libraries/Frameworks: * Phaser.js (for The Roboso Mandate game engine)
  • Chart.js (for data visualization in AI Town)
  • Tailwind CSS (via CDN for AI Town styling)

💻 How to Run

Because all the simulators and dashboards are self-contained, no installation or local server is required.

1. Clone the repository to your local machine:

   git clone [https://github.com/Thatguywiththeshirt/fantastic-octo-sniffle.git](https://github.com/Thatguywiththeshirt/fantastic-octo-sniffle.git)