MyAirHealthApp 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.
MyAirHealthApp provides a fully tailored Air experience just for you!
It allows you to MONITOR, PLAN and DISCOVER your compatibility with different Air climates. During your registration to this platform you will provide information about you that enables the software to categorise and create initial predictions on how you will react and feel in various Air qualities. Whether you are particularly sensitive to high humidity, particulates in the air or have allergies. Through your feedback, the platform will be able to provide better predictions. (This will help the advancement of scientific research on relationship between people and air).
Today we don't know if the agricultural pesticides from the farm next to cities or what chemicals industrial factories in our neighboring countries are releasing into the air that drifts to our homes. We might not even know that certain particles in the air is making us feel more tired. The vision of the app is to empower people to understand the air around them and take control on making their lives healthier through the power of data.
Scenario Example:
Technical Aspect:
The App registers the user’s sensitivity to different air qualities, and converts the input to a scale of 1-5. This allows for users to be categorised as neutral, sensitive to allergies, and/or sensitive to humidity. The app then calculates overall score for each location by passing raw data through an algorithm. For example humidity level in Tokyo in winter might be 50% which has a user specific score of 3 and CO2 level of 412ppm which has a user specific score of 1. The overall score of Tokyo then is 2 for the given example with 2 Air quality types.
The app takes into consideration different properties but not limited to air qualities including, SO2, NOx, CO2, PM10, PM2.5, Humidity, Altitude, UV intensity,Ionizing Radiation, Geo Location, Wind (speed and direction). The data is available through open data platforms. The application will be open for different IoT devices such as fitness trackers, indoor air pollution monitors to provide data.
Through combining historical and current data the app can learn to predict the state of future Air quality with a given confidence, and do the same with how you might react in specific places.
Here's a quick work in progress mock up: http://adobe.ly/1reQhrx
Thingspeak platform for DIY open Data to collect Air Quality Data. Prototype using Arduino, Grove VOC sensor, Grove Dust Sensor, MQ135 and DHT11 sensors, for VOC, CO2, Temperature and Humidity sensing.
Potential Data Resources:
http://aqicn.org/
https://api.safecast.org/en-US/home
http://noisemap.orbisgis.org/
http://airqualityegg.com/
https://smartcitizen.me/
Software Prototype Developped in Android Studio and Adobe XD
Google Maps