title: "Looking for Your Dream City? You are at the Right Place!" author: Sandipan Pramanik, Rochita Das, Anirban Chakraborty, Abhisek Chakraborty

## Shiny App:

https://city-search-engine-2020.shinyapps.io/DATATHON2020/

## Challenges we faced

The followings are some of the many challenges we faced:

1. Although we were provided with some factors corresponding to each city, we thought we required some more. Throughout the year we are not only experiencing unprecedented chaos regarding the covid pandemic, the social injustice among others has also risen around the world. To incorporate some of these issues in this project, we did an extensive search for such data. In this venture, we are partially successful and we are able to include factors like death (per million) and tests (per million) related to covid-19, happiness index, peace index corresponding to each city.

2. Once we collected the data for 216 cities, the next challenge was to come up with an algorithm that makes sense. To summarize: (i) the algorithm should consider the joint correlation of the factors. (ii) The output of the cities should be relevant to the user's input. (iii) We wanted to come up with a robust method to sort the cities in the multi-dimensional space. (iv) Finally, we wanted to provide a score against each city after they were obtained. Our proposed ML-based method is a vector projection-based method and addresses all these issues and provides a fast and relevant choice of solutions.

## Future direction

Nonetheless, much more could be done. On one side, having more data with more cities and variables will help us to find better solutions. We can also try a better metric to sort.