TinyML DIY Fitness Tracker using Raspberry Pi Pico

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.

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.

Package Includes:

• 1 x Raspberry Pi Pico Soldered
• 1 x Cable for Pico ( USB to Micro USB)
• 1 x MPU6050 (Soldered)
• 1 x Pulse Rate Sensor (Soldered)
• 1 x Pico Expansion Board – ADIY
• 20 x Jumper Wires – Female to Female
• 5 x LED – RED
• 1 x Active Buzzer
• 10 x Resistors – 220 Ohm
• 1 x Manual

Specification: