Real estate market scoring

Technological developments, especially in the areas of Geographic Information Systems (GIS) and Artificial Intelligence (AI), are causing a major shift in the real estate sector. From development to sales, these tools are improving different stages of the real estate industry. By putting forth a model for market scoring, we investigate in this article how GIS and machine learning can enhance property valuation. This model focuses on key features that affect property values, alongside the necessary AI algorithms and GIS analyses. Our research shows that important factors include proximity to amenities and infrastructure, which greatly influences property desirability. By using the XGBoost algorithm, we can evaluate different locations and assign appropriate scores based on these features. Analyzing data from 30 districts in Morocco, we emphasize the importance of proximity in valuation and present a scoring model that serves as a valuable resource for real estate stakeholders navigating today's market.