Abstract: This paper presents an AI-powered Real Estate Management System with Intelligent Consultant and Sales Agent designed to address information asymmetry, fragmented data sources, and inefficient property discovery in the Indian real estate sector. The system integrates a centralized MySQL database containing 382+ verified property listings across Bangalore with an AI-powered chatbot that analyzes user queries and requirements to provide real-time property recommendations, instant customer support, and expert consultation. By leveraging Cohere Chat API within a PHP-based web application, the system delivers role-based AI responses that adapt dynamically based on user intent, functioning as a Sales Agent, Investment Advisor, Legal Advisor, or General Assistant. The platform includes property management with CRUD operations, customer relationship management, automated approval workflows, dynamic search capabilities, and real-time synchronization between the database and AI knowledge base. This approach demonstrates how artificial intelligence and web technologies can offer an accessible, cost-effective solution for property management and intelligent property discovery, transforming traditional real estate operations through PropTech innovation and promoting data-driven decision-making.

Keywords: Real Estate Management System, Artificial Intelligence, Property Recommendations, PropTech, Web Application, Intelligent Chatbot, Customer Engagement.


Downloads: PDF | DOI: 10.17148/IJARCCE.2026.151145

How to Cite:

[1] Mohammed Suhaim Sami, Usha M, "Real Estate Management With AI Consultant And Sales Agent," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.151145

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