How We Evaluate the Real Estate Market
Our real estate valuation system uses advanced machine learning technologies and big data analysis to provide accurate and objective property valuations in Serbia.
Data Sources
We collect data from multiple reliable sources:
- Public listings from major real estate portals in Serbia
- Historical transaction data for analyzing actual sale and rental prices
- Geographic data on property locations and infrastructure
- Demographic data on neighborhoods and their development
- Economic indicators of the region and city
What We Evaluate
Property Characteristics
- Area and layout — size, number of rooms, number of floors
- Property condition — new construction, renovated, needs renovation
- Year built — we consider wear and modernity of the property
- Property type — apartment, house, studio, commercial property
Aesthetic Photo Evaluation
We use computer vision and neural networks to analyze property photos:
- Photo quality — lighting, composition, professionalism of photography
- Aesthetic appeal — visual attractiveness of interior and exterior
- Visual condition — assessment of renovation and deterioration from photos
- Style and design — modernity and compliance with trends
Surrounding Infrastructure
Our system analyzes infrastructure objects within a radius of up to 2 kilometers:
- Education — schools, kindergartens, universities
- Shopping — supermarkets, shops, shopping malls
- Healthcare — hospitals, clinics, pharmacies
- Transportation — bus stops, tram stops, metro, train stations
- Recreation and sports — parks, playgrounds, sports centers
- Banking services — banks, ATMs
- Dining — restaurants, cafes, fast food
Each infrastructure object affects property valuation depending on its type, distance, and importance to residents.
Machine Learning and Models
We build and use several specialized machine learning models:
Sale Price Valuation Model
Predicts fair market price of a property for sale based on:
- Property characteristics
- Location and infrastructure
- Historical transaction data
- Current market trends
Rental Price Valuation Model
Determines fair rental value considering:
- Seasonality and demand
- Comparison with similar properties
- Yield for investors
Yield Estimation Model
Calculates potential investment yield:
- Asking yield — yield if renting at current market rent
- Fair yield — yield based on fair price calculated by our models
Aesthetic Evaluation Model
Analyzes property photos and evaluates:
- Visual attractiveness
- Renovation quality
- Compliance with modern standards
Restoring Missing Data
Often listings lack important information. Our system automatically restores missing data:
- Area — we predict based on number of rooms, floor, and neighborhood
- Year built — we estimate from architectural style and condition
- Floor — we predict based on building type and neighborhood
- Condition — we determine from photos and descriptions
- Luxury level — we classify based on price, area, and photos
These restored data are used for more accurate valuation.
Accuracy of Valuations
Our models are constantly trained on new data and improved. We compare our predictions with actual transactions and adjust models to increase accuracy.
The system considers:
- Market trends — price changes over time
- Seasonality — fluctuations in supply and demand
- Local features — specifics of each neighborhood and city
- Economic factors — impact of economic situation on the real estate market
Transparency
We show:
- Fair market price — calculated by our models
- Difference from asking price — how much the property is above or below market
- Yield — potential investment profitability
- Comparison with similar properties — similar properties within 2 km radius
This helps you make informed decisions when buying, selling, or renting real estate.