A Data-Infused Approach to optimal Paying Guest / Hostel Selections

Abstract

The world's population is expanding quickly every day, and a great number of individuals are moving to big cities and other locations in search of employment, better living conditions, or educational opportunities. The development of rental websites is covered in this paper. Property details can be uploaded by landlords and tenants can rent properties through this website. In this research, we have developed website will assist people in giving or accepting rental properties without the need to interact with apartment brokers in order to ultimately come to a mutually beneficial agreement. Among the one hundred different options, the project's goal is to identify and suggest the PG that a user is most likely to book.