GeoAI-Challenge-for-Air-Pollution-Susceptibility-Mapping

Submissions for username JuliusFx for the above ITU problem statement

This repository contains the following files

Technical Report - gives the summary of the model developed
main.ipynb- the jupyter notebook used to generate the predictions
The datasets provided

a) Train.csv-contain train features (this file is big cannot upload here-- download from data section of page url provided below)

b) Test.csv-we are supposed to predict the aqi values for the 160 location in the city of milan

c) air_pollution_Milan_Comune_topo_only.csv-contains topological features for the city of milan

d) Interpolated seasonal datasets from the city of milan from a regular grid
```
  i) meteo_autumn_2022

  ii) meteo_spring_2022

  iii) meteo_summer_2022

  iv) meteo_winter_2022
```
requirements.txt- has the module version required to run the notebook successfuly
lgb_sub.csv - contains the predictions for our proposed model

Order of Running the Files

Ensure all files are residing in the same folder. I run them on conda environment in my computer
Install the models in requirements.txt
Run main.ipynb-should be able to generate the lgb_sub.csv file

To view the competition page where you can get more information on the problem statement, please visit: https://zindi.africa/competitions/geoai-challenge-for-air-pollution-susceptibility-mapping

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