Real Estate Prediction System Using ML

In recent years, machine learning has played a significant role in many aspects of our lives, including medical diagnosis, natural speech command, picture detection, product suggestion, spam recognition, and price prediction, etc. The desire to receive a profit on an investment property is a typical justification for home buying. They frequently want to know when and where to buy a property, thus they frequently ask the same questions. Current Real Estate Management System does not provide the prediction of the property price for users. In this project we offer the facility to the users to look for properties. This will provide the facility to view the system as an admin or user. The unique feature of this system is that it can predict the chance of a rise in the price of a property in the coming future. Prediction is done with the help of Machine Learning Algorithms such as Convolutional Neural Network (CNN) and Natural Language Processing (NLP), which helps to generate an output that is either positive (1) or negative (0). The predicted value depends upon various factors of the property such as property area, surrounding area, age of construction, Floors, Available rooms and carpet area. This will help the user to predict the chance of the property price rise in the future, thus making a better deal.