Portable Weather Station

Global Nominee

Portable Weather Station received a Global Nomination.


Develop an app or platform to crowd-source information for comparing changes in environmental factors, such as temperature, relative humidity, air pollution, with occurrence of symptoms of allergies and respiratory diseases. Create tools for public entry and grading of symptoms, including but not limited to cough, shortness of breath, wheezing, sneezing, nasal obstruction, itchy eyes; and geographic mapping of symptom frequency and intensity. Create a platform for comparison of symptom map with NASA provided data, with visualization options for web and/or smart phone.


For our project, we created a portable weather station.

It can detect particulates and chemicals in the air that are potentially hazardous to our health. It can also sense dust and pollen so it can advise people when there is high pollen season for those with hay fever. There is also a temperature sensor, UV sensor and a GPS so that it automatically knows where it is.

What makes this special is that the Intel Edison utiliizes IBM Bluemix's Node Red and their IoT modules to gather this data and can text users via Twilio. Once this is widespread, we can provide much more accurate and hyperlocal weather information to users as currently, when you are getting the weather info, the weather station you get the info for could be miles away. Instead, you can use a nearby weather station to get accurate readings.

Furthermore, this project can be miniaturized to fit inside something as small as an Altoids tin case as the Intel Edison's compute module is very small and everything else can be integrated.

Resources Used

Twilio API, Bluemix, Python, Intel Edison, JavaScript, node.js

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