Geolocation Analysis System using K-Mean Clustering

Abstract

We propose a system using K-Means Clustering and data analysis technique, to recommend accommodations for migrants based on factors like facilities, budget, and proximity to their destination. By analyzing geo-locational data, we can classify different types of accommodations such as PGs, flats, hostels, and nearby amenities like food stalls and daily necessities.