AI Home Renovation Planner Agent

🎓 FREE Step-by-Step Tutorial

👉 Click here to follow our complete step-by-step tutorial and learn how to build this from scratch with detailed code walkthroughs, explanations, and best practices.

A multi-agent system built with Google ADK that analyzes photos of your space, creates personalized renovation plans, and generates photorealistic renderings using Gemini 3 Flash and Gemini 3 Pro's multimodal capabilities.

Features

• 🔍 Smart Image Analysis: Upload room photos and inspiration images - agent automatically detects and analyzes them
• 🎨 Photorealistic Rendering: Generates professional-quality images of your renovated space using Gemini 3 Pro
• 💰 Budget-Aware Planning: Tailors recommendations to your budget constraints
• 📊 Complete Roadmap: Provides timeline, budget breakdown, contractor list, and action checklist
• 🤖 Multi-Agent Orchestration: Demonstrates Coordinator/Dispatcher + Sequential Pipeline patterns
• ✏️ Iterative Refinement: Edit generated renderings based on feedback

How It Works

The system uses a Coordinator/Dispatcher pattern with three specialized agents:

1. Visual Assessor 📸

• Analyzes uploaded room photos (layout, condition, dimensions)
• Extracts style from inspiration images
• Estimates costs and identifies improvement opportunities

2. Design Planner 🎨

• Creates budget-appropriate design plans
• Specifies exact materials, colors, and fixtures
• Prioritizes high-impact changes

3. Project Coordinator 🏗️

• Generates comprehensive renovation roadmap
• Creates photorealistic rendering of renovated space
• Provides budget breakdown, timeline, and action steps

Quick Start

1. Clone the repository

git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
cd awesome-llm-apps/advanced_ai_agents/multi_agent_apps/ai_home_renovation_agent

2. Install dependencies

pip install -r requirements.txt

3. Set up your API key

export GOOGLE_API_KEY="your_gemini_api_key"

Or create a .env file:

GOOGLE_API_KEY=your_gemini_api_key

4. Launch ADK Web

cd multi_agent_apps
adk web

5. Open browser and select "ai_home_renovation_agent"

Usage Examples

Scenario 1: Current Room + Budget

[Upload photo of your kitchen]
"What can I improve here with a $5k budget?"

→ Agent analyzes your space, suggests budget-friendly improvements, generates rendering

Scenario 2: Room + Inspiration

[Upload photo 1: your kitchen]
[Upload photo 2: Pinterest inspiration]
"Transform my kitchen to look like this. What's the cost?"

→ Agent extracts style from inspiration, applies to your room, provides budget + rendering

Scenario 3: Text Only

"Renovate my 10x12 kitchen with oak cabinets and laminate counters. 
Want modern farmhouse style with white shaker cabinets. Budget: $30k"

→ Agent creates design plan and generates rendering from description

Scenario 4: Iterative Refinement

[After initial rendering]
"Make the cabinets cream instead of white"
"Add pendant lights over the island"
"Change flooring to lighter oak"

→ Agent refines the rendering with your feedback

Sample Prompts

• "I want to renovate my small galley kitchen. It's 8x12 feet, has oak cabinets from the 90s. I love modern farmhouse style. Budget: $25k"
• "My master bathroom is tiny (5x8) with a cramped tub. I want a spa-like retreat with walk-in shower. Budget: $15k"
• "Transform my boring bedroom into a cozy retreat. Thinking accent wall, new flooring. Budget: $12k"

Tools & Capabilities

• google_search: Finds renovation costs, materials, and trends
• estimate_renovation_cost: Calculates costs by room type and scope
• calculate_timeline: Estimates project duration
• generate_renovation_rendering: Creates photorealistic renderings
• edit_renovation_rendering: Refines renderings based on feedback
• Versioned artifacts: Automatic version tracking for all renderings

Multi-Agent Pattern

Demonstrates Coordinator/Dispatcher + Sequential Pipeline:

Coordinator (Root Agent)
    ├── Info Agent (quick Q&A)
    └── Planning Pipeline (Sequential)
          ├── Visual Assessor (image analysis)
          ├── Design Planner (specifications)
          └── Project Coordinator (rendering + roadmap)

Why this pattern?

• Efficient: Only runs workflows that are needed
• Modular: Each agent has clear responsibilities
• Scalable: Easy to add new features
• Production-ready: Real-world agentic system pattern