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House prices increase every year, so there is a need for a system to predict house prices in the future. House price prediction can help the developer determine the selling price of a house and can help the customer to arrange the right time to purchase a house. There are three factors that influence the price of a house which include physical conditions, concept and location.

Many parties, including homeowners, purchasers, agents, creditors, and investors, face difficulties in accurately evaluating the value of real estate. It’s also a challenging one. Though it is generally known that size, number of rooms, and location influence pricing, there are many more factors at play. Furthermore, prices are susceptible to fluctuations in market demand as well as the unique characteristics of each circumstance, such as when a property must be sold quickly.

Probyto AI allows organizations to build and manage such usecases and track the benefits of AI adoption in their businesses. Currently, FREE 60 minutes AI Consultation is being provided to the registered users in the Probyto AI Demo platform. If you haven’t registered yet, register now to Probyto AI Demo.

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