Powerful Proof of Competency

A foundational machine learning project. Students build a model to predict passenger survival, mastering data cleaning, feature engineering, and classification algorithms.

A generative AI project created under a specific ethical constraint (e.g., avoiding bias), showcasing responsible and creative use of AI tools for content creation.

The "hello world" of deep learning. Students build and train a neural network on the MNIST dataset to recognize handwritten digits, providing a clear entry into computer vision.

A multi-label classification model that performs content moderation. The model identifies and flags different types of toxicity in online comments, a crucial real-world application.

A production-ready Q&A Chatbot using Retrieval-Augmented Generation (RAG). The system answers questions based on a custom knowledge base, eliminating hallucinations.

A 30-second promotional video for a chosen concept. The entire project is produced using only AI tools for visuals, music, and voiceover, showcasing advanced creative direction.

An advanced project focused on predicting future trends. Students build and tune complex models like XGBoost and Prophet to forecast retail sales or stock prices.

A full-stack web application that uses an LLM to generate a concise summary and relevant keyword tags from a long article, forcing reliable JSON output.

A real-time object detection model trained on a custom dataset of robotics competition game pieces. Essential for autonomous robot navigation and interaction.

A professional report that quantitatively audits a loan-approval AI for demographic bias. The deliverable showcases high-level analytical and ethical reasoning skills.

A complete digital-to-physical project. An AI is used to generatively design an optimized robotic gripper, which is then 3D printed and tested in the real world.

A strategic document for school leadership, outlining a phased plan for AI curriculum integration, stakeholder management, and pilot program definition.