Embedded AI Microgrant

Program Overview

The Embedded AI Microgrant supports students in building and deploying real-world AI systems on embedded hardware, bringing machine learning off the screen and into physical devices.

Build AI-powered devices - using sensors, cameras, microphones, etc.
Receive funding & hardware - and keep what you build!
Create a portfolio-ready project - great for resumes and applications 
Apply solo or with a small team - open to all undergrad & grad students

Spring 2026 Timeline

Applications will be processed on a rolling basis while funding lasts. Priority will be given to applications submitted before Feb 15.

Applications Open: Feb 1

Priority Consideration: Feb 15, 11:59 PM

Final Report Submission Deadline: April 10, 11:59 PM

Optional Project Showcase: April 17, 4:00 PM

How It Works

1. Choose your base hardware from our curated list
2. Choose accessories based on project needs
3. Submit your project application
4. Once approved, receive your hardware / funding
5. Build your project and document your process
6. Submit your final report
7. Keep what you build

Choose your Hardware

Projects can range from simple sensors to autonomous systems. Choose the level that's right for you and your project.

Choose your Accessories

Choose from these accessory kits and components to support your project’s hardware needs, or propose your own Bill of Materials.

Additionally, all projects will receive $50 think[box] materials credit to purchase project materials such as 3D printer filament, wood, acrylic, adhesive vinyl, etc. 

Eligibility

Open to all currently enrolled CWRU students. No prior experience required.

Ethics Statement

This program supports the development of experimental embedded AI prototypes for educational and exploratory purposes. These projects are intended to demonstrate concepts and technical feasibility.

As with all AI technologies, participants are encouraged to consider ethical implications such as fairness, privacy, safety, transparency, and potential misuse throughout the design process.

Additional resources:

• https://case.edu/provost/initiatives/innovation/ai-education/ai-policies
• https://researchguides.case.edu/artificialintelligence/ai-ethics