The MultiModal Real Estate AI Agent is a specialized assistant that ingests multimodal inputs—textual listings, photographs, floorplans, and location maps—to generate comprehensive property analyses. It leverages computer vision to extract features from images and LLM capabilities to interpret descriptions and neighborhood data. The agent estimates property value, identifies investment potential, and offers personalized suggestions based on user preferences. Through an interactive chat interface, users can ask follow-up questions, request comparisons between listings, and receive visual annotations on floorplans. This end-to-end solution streamlines the real estate search and decision process by combining data-driven insights with intuitive conversational guidance.

Amazon Bedrock Agents Outfit Assistant is a sample application demonstrating how to build a multi-modal AI-driven fashion advisor on AWS. Users upload images of their clothing items and specify style preferences; the agent processes visual inputs using Bedrock models, generates outfit recommendations, and presents them via a chat UI. It showcases integration of text generation, image understanding, and serverless AWS services, providing a blueprint for scalable, customizable fashion recommendation systems.