House Rent Prediction using Machine Learning and Deep Learning

As the population grows every year, rental rates rise as well. Studies have shown that for people who wish to sell their own homes and rent them out, the fluctuations in housing rental prices are a major concern. A system should therefore be put in place to predict the rental of a house according to its location, features, number of bedrooms, kitchen and dining room and floor area. This project focuses on developing a model which can predict house rent based on various factors and interior image of house.