Kutluhan Aktar / BLE Smartwatch Detecting Potential Sun Damage
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About this project
Project Description
I built this artificial neural network model (ANN) for my BLE AI-driven smartwatch project. The model makes predictions on sun damage risk levels (classes) based on UV index, temperature, pressure, and altitude measurements:
- Tolerable
- Risky
- Perilous
After building the neural network model, I deployed the model as an Arduino library and uploaded it to XIAO BLE. Also, I employed XIAO BLE to transmit (advertise) the prediction (detection) result and the recently collected data over BLE.
Download block output
| Title | Type | Size | |
|---|---|---|---|
| Raw data training data | NPY file | 135 windows | |
| Raw data training labels | NPY file | 135 windows | |
| Raw data testing data | NPY file | 22 windows | |
| Raw data testing labels | NPY file | 22 windows | |
| NN Classifier model | TensorFlow Lite (float32) | 34 KB | |
| NN Classifier model | TensorFlow Lite (int8 quantized) | 10 KB | |
| NN Classifier model | TensorFlow SavedModel | 37 KB | |
| NN Classifier model | Keras h5 model | 32 KB |
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Summary
Data collected
2m 37sProject info
| Project ID | 104321 |
| Project version | 1 |
| License | No license attached |
