Grosse Pointe North High School / Inspirit AI 2025
Summer AI Programs

Impact Report

Program Overview

In Summer 2025, Grosse Pointe North High School launched its inaugural AI summer program for high schoolers. This two-week initiative introduced students to artificial intelligence fundamentals and guided them to build socially-impactful AI projects. The program combined hands-on coding, ethical discussions, real-world case studies, and coding labs, culminating in a showcase of student-led innovations addressing real world challenges. A generous grant from the STEAAM Foundation helped subsidize students’ participation

AI Pioneers for Middle School Students

AI Scholars for High School Students

Program Highlights

Dates:

July 28-August 8, 2025

Participants:

21 in-district students from rising grades 6-12 attending Parcells Middle School, Brownell Middle School, Pierce Middle School, Grosse Pointe South High School, and Grosse Pointe North High School

Inspirit Faculty:

Dara Casey, Dartmouth

  • B.S., Computer Science and Neuroscience

  • Worked as a software engineer for Appian and as a researcher for Carnegie Mellon’s Human-Computer Interaction Institute.

George Dimopolous, Stanford

  • M.S., Computer Science

  • Works at the intersection of AI and economics, having performed energy markets research for Bruegel and renewable energy for Ørsted.

Curriculum Overview:

Python, machine learning, natural language processing, computer vision, neural networks, linear/logistic regression, AI+Ethics, positioning research projects in college applications (for high schoolers only), capstone projects unifying coding skill, ethical sensitivity, and research design

Capstone Projects:

Middle School:

Creating Art with Generative AI
Disaster Relief Improvements with NLP

High School:

Underwater Robots for Coral Reef Health
AI Powered Blueprints to Revitalize Detroit
AI Powered Recycling Sorter

Community and Culture

The programs fostered a culture of interdisciplinary collaboration: students from coding, humanities, and design backgrounds worked in teams on both mini-projects and the capstone project endeavor.

Instructor spotlight talks featured current faculty’s applied AI research in both laboratory and industry settings.

Students developed a strong sense of purpose-driven learning, anchoring technical knowledge in social good, and walked away with a set of ethical precepts to guide further research they may undertake in AI/ML.

→ Looking Ahead

→ Give students more time to complete an optional but recommended pre-program Python crash course (especially for novice coders)

→ Improve financial aid to expand opportunities for underserved students

→ Offer a no-code/low-code option for students keen to build AI apps without having to code in Python