You can use ML tools from AWS and connect them to a Raspberry Pi to ID birds at your bird feeder.

A smart toilet that maintains a healthy environment analyzing air quality data using machine learning.

Monitor, sense, predict, and act!

„Alexa, who is at the door?“ - A face recognizing Arduino camera using AWS Rekognition for my grandmother

Use your Fitbit history to provide a recommendation on the best time of day to workout.

With QuickFeather and SensiML, through a neural network, which indicates the type of bird we are hearing.