Kutluhan Aktar / BLE Smartwatch Detecting Potential Sun Damage Public

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 37s

Project info

Project ID 104321
Project version 1
License No license attached