GEO ENRICHED EXPLORATION AND AMENITY CLUSTERING FOR HOMESEEKERS AND BUSINESS

For home seekers and businesses, geo-enriched exploration and amenities clustering could revolutionize the way they discover new places to live. Using K-Means clustering algorithm, we present a machine learning-based solution for grouping amenities. The system can analyze the amenity preferences of the user and show the grouping of the desired amenities within a particular area on the map. The system assists the residents and people relocate by identifying the amenity-rich locations within a particular radius like restaurants, cafes etc. Businesses can establish or expand their business operations, considering factors like customer demographics and amenity clusters. This initiative aims to revolutionize location exploration, enhancing efficiency and accuracy while catering to diverse needs and preferences in various contexts such as real estate and business development.