This innovative system leverages your smartwatch to assess your intoxication level and determine your driving suitability. It analyzes your walking patterns, writing style (when entering a code), and bio-sensor data to make this crucial call. This showcases the combined power of the iWatch's 4-core Neural Engine, accelerometer, and bio-sensors. (watchOS / iWatch10)

Research: https://zoewave.medium.com/life-saving-watchos-ml-app-c9fde03e79cf

Website: https://www.zoewear.com/

Streamlining medication management, RxDigita allows you to add meds by voice or photo (the app reads the label!), set reminders, and keep track of everything in a clear and organized list view. (Android)

Website: https://www.rxdigita.com/

This AI-powered mobile app utilizes machine learning to analyze health data and recommend personalized microdosing schedules for medication. This has the potential to optimize medication effectiveness while minimizing side effects. Our initial focus is on using caffeine for targeted energy boosts.

Website: https://www.hummingbirdfuel.com/

This eco-friendly e-bike service leverages your fitness data (via Apple Health and Google Fit integration). Its ML capabilities help plan routes based on your calendar schedule and reward you with NFTs for choosing sustainable transportation. (Android & iOS)

Website: https:www.ashbike.com