AN INTELLIGENT RULE-BASED SYSTEM FOR HOUSE RENTAL AGENCY MANAGEMENT

The continuous advancement of Technology has transformed various industries, including real estate management. This paper title An Intelligent Rule-Base House Rental Agency System focuses on the development of an intelligent system that simplifies and automates the process of renting houses. The system integrates rule-based functionalities such as chat-bot interaction, smart property recommendations, fraud detection, and digital rental management. The methodology employed in this study follows the Agile Software Development Model, which enables iterative development and consistent feedback from stakeholders. The system is implemented using HTML, CSS, JavaScript, PHP, and MySQL, with rule-based functionalities supported by Python. The system provides modules for tenants, landlords, administrators, and chat-bot. Key features include property listing management, intelligent property search, rent tracking, document management, and fraud prevention mechanisms