Corona helps the environment?

• 

  pre-covid and post-covid

Inspiration

Air pollution, one of the most major problems in today's world.

How the air quality been pre and post-Covid. How Air Quality varies across different cities. Cities that have severe conditions in terms of air quality

What it does

The ipynb notebook consists of data mining, wrangling and visualisation techniques to understand how the air pollution is varied across various cities in India. We aim to analyze -

the air quality pre and post covid for a given city.

How we built it

Our solution, was built using Jupyter notebook and Python along with it's numerous libraries

Challenges we ran into

We could not implement the part where we could take in the name of the city as an input to showcase predicted air quality over the next months due to the time constraints.

Accomplishments that we're proud of

We made the analysis for pre and post covid Understood how burning crackers or fireworks during festivals affects our environment

What we learned

Learnt Data visualisation techniques Exploring the dataset

What's next for Corona helps the environment?

For future additions we aim to take in city name as an input and predict how the air quality can be in the next few months

Built With

• datascience
• machine-learning
• python