Carbon footprinting aims to create an educational website to create awareness about the impact of greenhouse gases. We plan to predict the pollution levels of a specific city which helps in bringing awareness to people about the kind of situation they are in.
Inspiration: Since the late 1990s, the term carbon footprint has become widely used in the public debate on personal and corporate responsibility in response to global climate change. But despite its frequent popular use, there is no clear scientific definition of the term, and there remains confusion as to what it actually means and measures.
We selected this challenge to create awareness amongst the public, to inform them about Carbon Footprint and its impact.
Approach: To create an educational website and raise awareness about the impact of Carbon footprint. We plan to predict the pollution levels of a specific city which helps in bringing awareness to people about the kind of situation they are in.
Tools, Software and Coding Languages used:
Achievement: Created a website to create awareness about Carbon footprint using HTML, CSS, Javascript, Bootstrap.
Native Javascript is used to create an interactive map which lets people search for an address. Then all the places around the world with the same name would be displayed and the user would have to choose from them. Once the place is selected, that place is pointed out in the map with a marker. A label is attached to the marker which shows the latitude and longitude of that place. This was used to get latitude and longitude values of an address which would be then be used to assess the carbon monoxide levels in that place.
This could be further integrated with a Machine Learning Model which would predict the Carbon Monoxide levels in a specific area. The output values i.e latitude and longitude values of this model would be then sent to the machine learning model as an input.
MOPITT Dataset was used to calculate CO levels across the globe to mark regions with the greatest and the least Carbon Pollution.
Data used in website:
MOPITT Dataset was used to calculate CO levels across the globe to mark regions with the greatest and the least Carbon Pollution.
Data used in website: