Our Al model is an automated real estate price estimation service based on property images powered by Deep Learning techniques. We implement this model in Austria (Vienna), Canada (Toronto), and Italy (Rome, Milan, and Turin)
This Al estimates the price of a property with maximum accuracy using: structural attributes such as area, number of bedrooms, accessibility of neighborhood measured by the number of nearby supermarkets, shops, restaurants, near the property, aerial image of the region, interior and exterior pictures of the house, statistical information of the city
This model provides a visual desirability index for each photo of the property. The underlying deep neural network technology has a precise understanding of visual features that correlate with value and perceives the gradients in quality that exists among them.