期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2021
卷号：3
期号：6
页码：405-414
DOI：10.35629/5252-0306297302
语种：English
出版社：IJAEM JOURNAL
摘要：In today’s world, machine larning plays a very important role in various fields to make user interaction and experience better and feasible in image detection, spam reorganization, and product recommendation and also in enhancing security alerts The main purpose of this paper is to predict the economical house valuation of the properties of the customers with relation to their budgets and priorities. This will be a support for the people who are trying to purchase a house with the result from/of an establishment of the budgets of marketing them. Further for the prediction, the users require the current system which involves the computation of house costs while not necessary to predict for future market estate theme. This business totally depends upon a period of time, accuracy, and methods with a large amount of analytical information to create critical choices. With this potency and capability of a business, it will be easier to accomplish machine learning. The exchangeable intelligence, chat-bots, and automation helps to smooth out the business methods. While surfing through social networking sites or other apps and services, you must have observed that the chat boxes pop up. Which in this case will be the bots, pre-trained to help customers instantly without including human intervention as far as possible. And probably give much better suggestions comparatively. In general house costs preserve increasingly terribly which proves that the house costs and unit typically exaggerate. On the other hand, this model can further be implemented to various Internet-based platform or smartphones in the form of application to make it user-friendly and more feasible with different functionalities using IoT HetNet.
