Rental House Finding Application

This study presents House Bridge, an intelligent mobile application developed to streamline the rental housing process through automation, transparency, and personalization. The system integrates artificial intelligence (AI), machine learning (ML), and real-time data analytics to connect tenants and property owners efficiently. By incorporating features such as interactive mapping, multilingual chatbot support, and proximity-based service recommendations, the platform enhances the accessibility and affordability of rental housing. The proposed framework addresses the limitations of conventional rental systems that often lack integration, personalization, and user engagement. The application architecture emphasizes inclusivity, sustainability, and digital transformation within the real estate ecosystem. Experimental evaluation and system comparison demonstrate that House Bridge reduces search time, improves communication between tenants and landlords, and increases user satisfaction through intelligent recommendation and automation. The findings contribute to the growing body of research on AI-driven property management and the design of next-generation smart housing platforms.