Kutluhan Aktar / BLE Smartwatch Detecting Potential Sun Damage Public

BLE Smartwatch Detecting Potential Sun Damage

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.

Risky.sample_16
Tolerable.sample_27
Perilous.sample_12
Tolerable.sample_8
Tolerable.sample_7
Risky.sample_13
Perilous.sample_19
Tolerable.sample_37

Run this model

On any device

Dataset summary

Data collected
2m 37s
Sensors
uv_index, temperature, pressure, altitude @ 1Hz
Labels
Perilous, Risky, Tolerable

Project info

Project ID 104321
Project version 1
License No license attached
No. of views 17,818
No. of clones 2