For less demanding tasks, the Raspberry Pi's built-in processor can run machine learning models using lightweight frameworks like TensorFlow Lite or libraries like OpenCV. This approach is suitable for projects such as: * **Voice Assistants**: Creating a local voice assistant that processes commands offline. * **Simple Object Detection**: Identifying and counting objects in a video feed for smart surveillance or inventory management.