E-Housing Rental System Using Hybrid User-Centric Private or Public Property Recommender System Using Fuzzy Logic and Item-Based Collaborative Filtering

Abstract

In the present living movement is one of the social peculiarities. Individuals, because of multiple factors, numerous various times continue to move from one spot to another. The primary necessity and need in another spot is Housing or convenience. Finding or getting great reasonable convenience in sensibly brief time frame is a test. The issue is two different ways for both House Owner's (Searching a Tenant) and house leasing local area i.e., Tenants people group. However land and rental offices exist, they are costly or at time one-sided. It is extremely challenging for new contestants into a city going house to house looking for rental lodging. Looking through rental lodging includes time, cost and commonality of the spot. Same way for house proprietors setting aside occupant includes opportunity, cost and need great interpersonal organizations. To defeat what is happening, we have emerged with an Automation arrangement by proposing for advancement of programming framework known as "E-HOUSING RENTAL SYSTEM." EHRS Aims to offer types of assistance to "House Owners", "Relocating populace", "Land Agencies" and other local area that straightforwardly or in a roundabout way reliant upon moving populace. EHRS works with different individuals locally: 1) Gives house proprietor's a stage to illuminate about their home subtleties to clients (Tenants) that require lodging. 2) Works with travelers in finding require convenience in brief time frame and for minimal price. 3) Help land organizations in centering their business regions.