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TinyML DIY Fitness Tracker using Raspberry Pi Pico
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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
- 1 x Pulse Rate Sensor
- 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 |
Customer Reviews
Based on 2 reviews 5.0/
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- 30-11-2022
Very helpful kit
This kit was easy to program and assemble with the help of the manual. The package came on time. Thank you Robocraze.
- 30-11-2022
This Kit is amazing
Got this kit from robocraze today, It was easy to assemble and program. This kit is value for money.
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