AI-Based Real Estate Web App - Revolutionizing Property Search and Recommendation

The real estate industry is undergoing a transformative shift with the integration of Artificial Intelligence (AI). This paper presents an AI-based real estate web application designed to revolutionize property search, valuation, and customer interaction. The system leverages advanced AI technologies, including Natural Language Processing (NLP) for user interaction, machine learning algorithms for personalized property recommendations, and predictive analytics for accurate property valuation. By integrating these technologies into a unified platform, the proposed web application addresses the inefficiencies of traditional real estate processes, such as manual property searches, subjective valuations, and limited customer support. Experimental results demonstrate that the system achieves an 85% accuracy rate in matching user preferences with available properties, while the AI-powered chatbot responds to queries in under 2 seconds, significantly enhancing user satisfaction. This study highlights the potential of AI to streamline real estate operations, improve decision-making, and enhance user experience. Future enhancements include mobile application deployment, edge AI integration, and dataset expansion to further improve system robustness and scalability. This research contributes to the growing field of AI in real estate, offering a practical and scalable solution for modern property management.