Advancements in AI-Driven Real Estate Recommendations: Hybrid Filtering Techniques for Personalized Property Suggestions

ABSTRACT-Real estate search experiences have experienced significant improvement through artificial intelligence (AI) applications in recommendation systems. The discussion provides detailed technical details about a hybrid recommendation system which incorporates content-based filtering with collaborative filtering and location-based filtering. The system develops customized property suggestions after analysing what users like and studying property details alongside their locations. This section examines the system architecture together with data pre-processing functions as well as the process of system integration with user-friendly interfaces. The outcomes from the study prove that combining different recommendation strategies leads to more precise recommendations and satisfied users. The document presents future development plans and research proposals toward system enhancement. AI Recommendation System applied to real estate engages three filtering methods, which are Content-Based Filtering and Collaborative Filtering and Location-Based Filtering to provide personalized recommendations.