1.The main aim of the project is to check the quality of the air throgh PM2.5 particles .
2.Extracted the dataset from various websites through webscrapping (using Beautiful Soup library).
3.Worked on various Advanced Regression models[Lasoo regression, Random forest , XGboost] with hyperparameter tuning to imporve my model accuracy.
4.Using flask framework created a responsive working model.
5.Deployed my model in Heroku Webserver.
A complete end to end project implementation.
https://airqualityindex-predictor.herokuapp.com/
Collaborators
- K.Vamshi Reddy
- Suhas Sasetty