Android, often the first personal device many own, and is a powerful tool for learning about application development. It comes loaded with sensors (accelerometers, gyros, microphones, and a high-resolution camera). When you pair these sensors with Edge Impulse, a platform, that recently joined forces with Qualcomm Technologies and simplifies the process of developing and deploying machine learning models on devices that can operate dependent from access to the internet or “at the edge”, you have the perfect, low-cost launchpad for starting your AI literacy journey.

In this 80-minute workshop, you will:

1. Learn how to collect and label your dataset from your Android device sensors.

2. Train a fall-detection model with the Edge Impulse platform using your dataset.

3. Export and configure your model as an Android studio project, so it can be utilized locally on your device.

4. Install the Android package (apk)

5. Have the tools to continue your journey to vision-based models and visual inspection.

You will walk away with a functioning distributable application (apk), a repeatable workflow for future projects, and the confidence to extend your new skills to any Android form factor, from classroom tablets to factory-floor industrial devices. Join us in the democratization of AI literacy.