A property development company navigating complex zoning regulations for residential and commercial projects.
Construction companies spend significant time manually researching zoning laws and property restrictions for each new project. This process involves navigating complex government systems and documentation, leading to project delays and potential compliance risks.
Built an automated web scraping system using Puppeteer to extract property and zoning information from Zone Information and Map Access System (ZIMAS), creating a comprehensive database of property details and associated regulations.
Implemented OpenAI's Assistant API to create a specialized agent trained on LA City County zoning laws. The system processes and vectorizes zoning regulations to enable natural language understanding and accurate response generation.
Developed a user-friendly chat interface allowing construction teams to easily query zoning information and receive detailed responses with relevant legal citations.
The AI zoning assistant has transformed the property research process, cutting research time by 75% and reducing project turnaround by 2-3 weeks per property. Projects can now move from planning to execution faster, with more efficient zoning compliance verification.
Utilized OpenAI's Assistant API for intelligent processing of zoning regulations and natural language interactions
Implemented for automated web scraping of ZIMAS property information
Backend framework for handling data processing and API integration
Frontend framework providing a responsive and interactive user interface
