Following the theme of this hackathon, our project focuses on time series analysis and forecasting of air quality. As we know, post lockdown due to coronavirus, we have come across many images and memes on the internet talking about a drastic improvement in the environment with respect to pollution and we want to demonstrate this through numbers and graphs. Our aim here is to show how the pace of our daily lifestyle is impacting our environment and spread awareness about how we should start to change it which is very easy to overlook amidst our busy lifestyle.
What it does
The dashboard we have built shows the time series forecast for the next 6 months from June to November for New Delhi. We have air quality measurements in terms of 6 parameters. From the plots in the dashboard, we see how the lockdown is impacting the environment for the better. We show the graphs only for New Delhi but it can easily be generalized to all across the world as the dataset is easily accessible via OpenAQ dataset extracted on Amazon Athena.
How we built it
Challenges we ran into
Time series forecasting is an entirely new concept that we learnt and built the model from scratch. We also had a lot on our plate to build an end to end project.
Accomplishments that we're proud of
We were able to implement most of whatever we had in mind and have a complete project with a working UI, backend and a Machine Learning model.
What we learned
Time series forecasting, deployment to Google App Engine, Domain registration
What's next for AQ.ai
Expand it to other regions as well and build a more interactive UI.