Congratulations on completing the "Deploying ML Models on Edge Devices" tutorial!
We've taken you on an exhilarating journey into different hardware platforms and the practical steps to deploy real-world machine learning models. From understanding the hardware capabilities of the Arduino Nano 33 BLE Sense and OpenMV Cam H7 to training baseline classifiers and finally identifying wildlife, you now possess the foundational skills for Edge AI.
We encourage you to explore further by enhancing the camera trap application with Object Detection (FOMO) to count animals or estimate their size. The world of embedded machine learning is vast—keep experimenting!