We at Founding Minds is using the power of the machine on various projects in the real-estate domain to

1. Predictive modelling: Machine learning algorithms can be used to build models that predict the future value of a property based on various features such as location, size, age, and amenities. These models can help buyers, sellers, and real estate agents make more informed decisions.
2. Demand forecasting: AI can be used to analyze data on past property sales, rental rates, and other economic indicators to forecast future demand for different types of real estate in different locations. This can help developers and investors make better decisions about where to build and invest.
3. Image analysis: Deep learning algorithms can be used to analyze images of properties and extract information such as the number of bedrooms, bathrooms, and other features. This can help automate the process of creating listings and save time for real estate agents.
4. Personalized recommendations: Machine learning algorithms can be used to analyze an individual’s past property search history and preferences to make personalized recommendations for properties that may be of interest.
5. Fraud detection: AI can be used to analyze data on property transactions and identify patterns that may indicate fraudulent activity, such as the use of shell companies or suspiciously low prices.