TinyML DIY Fitness Tracker using Raspberry Pi Pico
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TinyML DIY Fitness Tracker using Raspberry Pi Pico

TinyML DIY Fitness Tracker using Raspberry Pi Pico

$10.80
TinyML DIY Fitness Tracker using Raspberry Pi Pico
$10.80

The Story

TinyML DIY Fitness Tracker using Raspberry Pi Pico

Machine Learning a branch of Artificial Intelligence is influencing the society, industry andat large. The adaptability of Python programming language to Machine Learning has increased its popularity further. This TinyML Kit will help you to make your own DIY Fitness Tracker will using Raspberry Pi Pico.

Raspberry Pi Pico Pin Diagram

What You'll Learn:

  • Acquire a working knowledge of Machine Learning and Connecting to Edge Impulse
  • Use the Raspberry Pi to implement ML techniques and algorithms.
  • Apply ML tools and techniques to your own work projects and studies.

Prerequisites:

  • Beginner level understanding of Raspberry Pi Pico.
TinyML DIY Fitness Tracker using Raspberry Pi Pico - Image 2

Details & Craftsmanship

Every detail has been carefully considered to bring you the perfect product.

TinyML DIY Fitness Tracker using Raspberry Pi Pico - Image 3

Details & Craftsmanship

Every detail has been carefully considered to bring you the perfect product.

TinyML DIY Fitness Tracker using Raspberry Pi Pico - Image 4

Details & Craftsmanship

Every detail has been carefully considered to bring you the perfect product.

TinyML DIY Fitness Tracker using Raspberry Pi Pico - Image 5

Details & Craftsmanship

Every detail has been carefully considered to bring you the perfect product.

Description

TinyML DIY Fitness Tracker using Raspberry Pi Pico

Machine Learning a branch of Artificial Intelligence is influencing the society, industry andat large. The adaptability of Python programming language to Machine Learning has increased its popularity further. This TinyML Kit will help you to make your own DIY Fitness Tracker will using Raspberry Pi Pico.

Raspberry Pi Pico Pin Diagram

What You'll Learn:

  • Acquire a working knowledge of Machine Learning and Connecting to Edge Impulse
  • Use the Raspberry Pi to implement ML techniques and algorithms.
  • Apply ML tools and techniques to your own work projects and studies.

Prerequisites:

  • Beginner level understanding of Raspberry Pi Pico.