Opening the Future of GenAI-Based ADU Planning

As the market for ADU (Accessory Dwelling Unit) and modular/prefab housing grows rapidly, a GenAI-based ADU Planner is introduced that simplifies complex site surveys and building code checks. The related market, valued at $150 billion in 2022, is projected to grow to $300 billion by 2032.

When a user enters an address, the system analyzes the site using Google geocoding and satellite imagery, and searches through city building regulations and local vendors' floor plans together to present an actionable ADU plan. The core goal is to let homeowners build an initial plan in just a few clicks, without having to compare multiple vendors one by one.

It has also achieved results. ADU Planner won top honor at the LlamaIndex RAG Hackathon held on its first weekend in February 2024. The project was released with a separate Devpost page and a GitHub repository.

Here's how it works:

• 1. Address Input: The frontend receives the address and initiates backend analysis.
• 2. Regulation and Image Analysis: GPT-3.5 reads local building codes to extract regulations such as floor area and setbacks, while GPT-4V analyzes satellite imagery to identify obstacles and developable areas.
• 3. Floor Plan Matching: The system finds ADU floor plans that meet both legal requirements and site conditions from local builders' websites.
• 4. Connecting Detailed Information: When a user clicks a floor plan, they are taken to the builder's page with 3D renderings, pricing, and additional information, and the data needed for an initial consultation is also prepared.

The tech stack is centered around a React frontend, a Flask backend, a LlamaIndex PDF parser, and Google Maps. The code samples also demonstrate LlamaParse, ChromaDB, OpenAIAgent, and multimodal image analysis flows, and explain how to query ADU regulations for Saratoga, CA.

In conclusion, this tool greatly simplifies the most cumbersome parts of ADU planning: site surveys, regulation review, and floor plan exploration. Going forward, the plan is to pursue an official launch and partnerships with ADU vendors, and to expand into personalized recommendations tailored to budget and layout preferences.