Raspberry Pi Pico comes with Dual-Core ARM Cortex M0+ processor, which can run up to 133MHz. It has 264KB of SRAM and 2MB of on-board flash storage, but we can extend up to 16MB of off-chip Flash memory via a dedicated Quad-SPI bus.

ThingSpeak is an open IoT platform for monitoring your data online. In ThingSpeak channel you can set the data as private or public according to your choice. ThingSpeak takes minimum of 15 seconds to update your readings. Its a great and very easy to use platform for building IOT projects.

Describing in details how I built the front-end is out-of-scope in this tutorial, however I would like to point out few tips that I discovered while doing this project.

Presented here is a smart notification system for a door sensor, motion detector, fire alarm and doorbell using Raspberry Pi (RPi) and Pushover app. The project triggers an event through various sensors and sends notifications to your smartphone.

Controlling a RPi robot (or anything), using low level commands written with shell scripts commanded straight from a HTML page.

The BeetBox is a simple instrument that allows users to play drum beats by touching actual beets. It is powered by a Raspberry Pi with a capacitive touch sensor and an audio amplifier in a handmade wooden enclosure.

n this tutorial, we will Control a 16x2 LCD Display using Raspberry Pi. We will connect the LCD to GPIO (General Purpose Input Output) pins of PI to display characters on it. We will write a program in PYTHON to send the appropriate commands to the LCD through GPIO and display the needed characters on its screen.

So I decided to build my own. But I wanted to give the gift of easy water cooling to the entire raspberry pi community. I decided to design a 3D printable water block that anyone with access to a 3D printer could build. What if you don't have a 3D printer?

Found this tutorial on Instructables to make a raspberry pi case from an altoids tin.

Demonstration of a small motion detection script I wrote for the picamera. This video was recorded before any optimizations were done to the script. Each image is captured at 64x36 then compared to the previous image pixel for pixel based on their RGB value. As I come up with ways to make the script better I will push the changes to GitHub.