TinyML DIY Fitness Tracker using Raspberry Pi Pico
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: Chip RP2040 Processor Dual-core ARM Cortex M0+ Flash Memory Onboard 2Mb SRAM 246Kb GPIO Pins 26 Brand Raspberry Pi
- Your ML journey with Raspberry Pi Pico starts with choosing the right RP2040 board and its accompanying peripherals, sensors etc.
- The steps and the instructions are provided in the manual. You can create a fully customized machine learning model that can be used on all the RP2040 boards.
- This Machine Learning kit has been made by Robocraze and will help you in making a DIY Fitness Tracker with a step-by-step guide.
- 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