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Science allows us to study the natural world by collecting data through a systematic process known as the scientific method. Technology allows us to aplly science to develop devices that can perform tasks and solve problems. In other words, technology is the practical application of science.

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Planetary Weight Calculator

In this tutorial we will use Python code to build a universal weight calculator, which will calculate our weight on each planetary body within our Solar System. Our weight calculator will be based on Newton's universal gravitational constant, or G = 6.674×10−11 m3 kg−1 s−2. Next we must obtain the mass and radius of each planetary body, which can be obtained from NASA. For our application, we used the Planetary Fact Sheet from NASA.

The following calculations will be done using the metric system, except for weight measurements, which should be in pounds (lbs). Don't forget to convert from diameter to radius for each celestial body, if you are using the NASA Planetary Fact Sheet.

Johnathan Nicolosi - 25 Mar 2018

Alternative and Augmentative Communication

Alternative and Augmentative Communication This article will show you how to transform your laptop into the ultimate alternative and augmentative communication device. This project requires a webcam and two downloads: Camera Mouse, which uses the webcam to track your eyes, and OptiKey, an optical keyboard that can be used to spell out words and phrases.

Johnathan Nicolosi (Updated) - 23 Mar 2018

Environmental Scanner - Arduino-based Sensor Array

Environmental Scanner The Environmental Scanner project began as a simple Arduino-based, environmental monitoring and alert system. Featuring and array of Adafruit and SparkFun electronic sensors, Arduino Uno and an ethernet shield, the Environmental Scanner will host a webpage containing sensor readings and alerts. This webpage will display the current sensor readings, which will refresh every few seconds and will send an alert when sensor levels exceed certain, predefined thresholds.

Johnathan Nicolosi - 25 Sept 2017

Facial Recognition Using Python and a Webcam

Facial Recognition In this tutorial we will explore basic machine learning concepts by developing a simple facial recognition program in under 22 lines of code, using a webcam, Python 2.7, and the open source library OpenCV v2. OpenCV is a popular library for computer vision, which was originally written in C/C++, but now provides bindings for Python. This tutorial is based on Shantnu Tiwari's python blog, which can be found at

Johnathan Nicolosi - 24 Sept 2017

Raspberry Pi - Amazon Alexa Integration

This tutorial will show you how to integrate artificial intelligence and voice recognition into Raspberry Pi. The original tutorial can be found at ( In order to integrate Amazaon's Alexa with a Raspberry Pi 3, you will need the following components: Raspberry Pi, official Sense Hat and an Amazon Developer's account.

Johnathan Nicolosi - 24 Sept 2017