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Construction

Automated Zoning Research Assistant

A property development company navigating complex zoning regulations for residential and commercial projects.

zoning_lookup.sh
Property
├50ft┤
1234 Main St
ID: 5432-123-456
Analysis
Zone
R3-1 Multi-Family
Limits
45ft height / 15ft setback
Codes
12 regulations found

The Problem

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.

Our Approach

01

Data Collection System

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.

[✓]Automated ZIMAS data extraction
[✓]Property parcel information collection
[✓]Real-time data updates
[✓]Structured data storage
02

AI Knowledge Base

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.

[✓]Vector-based knowledge representation
[✓]Natural language processing
[✓]Citation tracking
[✓]Context-aware responses
[✓]Legal reference linking
03

Interactive Query Interface

Developed a user-friendly chat interface allowing construction teams to easily query zoning information and receive detailed responses with relevant legal citations.

[✓]Conversational UI
[✓]Real-time responses
[✓]Citation linking
[✓]Property-specific context

Results & Impact

0%
Research Time
Reduction in zoning research time
$0k
Cost Savings
Per project in research and consultation costs
0x
Project Speed
Faster project planning phase

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.

Technical Highlights

▸Automated web scraping system for ZIMAS data collection
▸Vector-based knowledge representation for zoning regulations
▸Integration of OpenAI Assistant API with custom training
▸Real-time property information retrieval
▸Secure data handling and storage

Tech Stack

OpenAI

Utilized OpenAI's Assistant API for intelligent processing of zoning regulations and natural language interactions

Puppeteer

Implemented for automated web scraping of ZIMAS property information

Node.js

Backend framework for handling data processing and API integration

Remix

Frontend framework providing a responsive and interactive user interface