Project Pollutex 🚬
By utilizing machine learning and image processing, Pollutex enables you to check the pollution levels of your surroundings without having to purchase expensive hardware.
Problem : Air Pollution
Air pollution was responsible for 16.7 lakh deaths in India in 2019, or 17.8% of all deaths in the country that year. This is the largest number of air-pollution-related deaths of any country, according to a recent report on pollution and health published in The Lancet Planetary Health.
Dust & Construction contribute about 59% to the air pollution in India, which is followed by Waste Burning. Dust & Construction activities are mostly in the urban areas while Waste Burning is in the rural areas (agriculture).
Where did begin
A measure of air quality is how clean or polluted the air is. We need to monitor the air quality because polluted air can harm our health and the environment.
AQI measures air quality. The AQI works like a thermometer that runs from 0 to 500 degrees. However, instead of showing changes in the temperature, the AQI is a way of showing changes in the amount of pollution in the air.
AQI tracks five major air pollutants
Measuring Instruments
PM2.5 or AQI mointors range from $400 to $10,000+ which is quite expensive to purchase for measuring air quality index.
Solution : Project Pollutex
With the power of image processing and machine learning, we have developed an app that detects the images and tells the status of the pollution Severe, Moderate, Low, and No pollution.
Technical Aspect : How it works
Takes in an image, checks for the presence of sky by elimating the distractions in the image and apply computation on it from the previous datasets and provides the revelant output.
Where we are today
We were able to develop a tiny machine learning model which detects pollution and provides the following outputs.
Why do we use it?
Our app now allows anyone with access to a smartphone and a camera to take a picture of the sky and we will compute whether or not it is safe for you to breathe.
