This project explores real-time object detection using a Raspberry Pi camera and .NET based services. One service captures the latest image on the Pi while another service running on a laptop applies ML.NET object detection to that image. The result is a practical machine learning experiment that can identify everyday objects from the live camera feed.
This second COVID-19 application combines a .NET 5 API, EF Core, and a React Redux frontend to explore pandemic data in more flexible ways. By importing data from The COVID Tracking Project, it can transform and visualize trends that were harder to show in the original app. The project emphasizes heatmap views of case waves and can be run locally as a Docker container.
This project is a Raspberry Pi calendar application designed to show appointments throughout the day. It integrates with a Microsoft account to bring calendar data onto a dedicated device. The result is a focused dashboard-style display built specifically for the Raspberry Pi.
This COVID-19 statistics application was built as an opportunity to experiment with the Clarity Design framework. It presents pandemic statistics in a simple web interface focused on making the data easy to browse. The project page links out to additional resources that go into more detail.
Pi Plate is a Raspberry Pi powered interactive nameplate built as a fun desk project. It turns a simple nameplate into a small custom hardware and software experiment. The related blog posts go deeper into how the project was put together.
