LandSin: A differential ML and google API-enabled web server for real-time land insights and beyond
Alauddin Sabari, Imran Hasan, Salem A. Alyami, Píetro Lió, Md. Sadek Ali, Mohammad Ali Moni, AKM Azad · Software Impacts · 2024
LandSin , a web application with a back-end database, is developed for global land value estimation by combining polynomial regression and differential privacy models. Leveraging local amenities and property details, LandSin offers key features, e.g., accurate land value and price predictions, affordability and habitability analysis, and terrain insights using Google Maps. In addition, it facilitates useful infographics, helping stakeholders identify economically deprived but habitable areas for balanced regional development. It also supports real estate agencies and community planners in finding habitable land by making data-driven decisions regarding land investments and regional planning, ensuring informed and strategic choices. • LandSin offers dynamic land value prediction using machine learning and differential privacy. • It integrates Google Maps for terrain insights and habitability analysis for real estate decisions. • LandSin helps real estate agencies assess investment opportunities by analyzing market trends. • Differential privacy ensures user data security while providing accurate land value estimates. • Governments can use LandSin for regional planning by identifying economically deprived areas.