Air pollution is modern day fact of life. It is everywhere from the urban landscapes of Los Angeles to the remote villages of India. It is a ubiquitous challenge with tremendous health impacts. This is particularly true for the 500 million people around the world that suffer from chronic respiratory disease, the third leading cause of death globally. For people struggling with this deadly ailment, air pollution is the second leading risk factor.
Unfortunately, many people living in developing nations or other remote, sparsely populated areas don’t have good access to reliable information about the air that they breathe. GASP seeks to solve this problem by utilizing a resource that many already do have—their smartphone. By using ML image processing techniques GASP provides users with a quick, inexpensive app to determine the current air quality classification. GASP also allows users to determine which groups should be concerned about the current air quality and what actions should be taken to protect their health.
GASP seeks to solve this problem by utilizing a resource that many already do have—their smartphone. By using machine learning image processing techniques GASP provides users with a quick, inexpensive application that can predict the current air quality classification in their area.
Users simply take and upload a photo and GASP instantly provides an estimated air quality classification!
In addition, GASP provides users with important information about how to interpret the classification and what steps can be taken to protect their health.