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  Flow Diagram

EstateFlow Nexus Agent– Real Estate Engagement Platform

Introduction

Picture Meera, a top real estate broker in New York, USA, juggling walk-ins, WhatsApp requests, and a growing portfolio across the city. Her clients expect virtual previews, instant availability checks, and confirmed meeting slots before lunch. EstateFlow Agent steps into this chaos as a single pane of glass—helping brokers like Meera showcase properties, coordinate team calendars, and deliver concierge-grade service to every buyer and tenant.

Scope & Purpose

• Streamline appointment scheduling, property discovery, and deal follow-ups for real estate brokerages.
• Provide clients with a modern self-service portal to browse curated listings and lock meetings instantly.
• Enable lead generation and appointment scheduling through conversation-driven discovery questions.
• Equip broker teams with collaborative tools to manage calendars, listings, and client conversations in one place.

Target Audience

• Broker owners scaling high-touch advisory services.
• Real estate sales and support teams coordinating daily showings.
• Premium clients seeking transparent access to curated listings and guided experiences.
• Real estate investors seeking to automate lead generation and appointment scheduling.

Platform Snapshot

• Standalone engagement hub combining AI assistance, scheduling, and property storytelling.
• Unified backend + React frontend that teams can deploy independently or integrate with existing systems.
• Ready-to-demo experience tailor-made for hackathons, investor pitches, and pilot launches.

Feature Highlights

• Smart Appointment Concierge: Google Calendar–backed availability checks, instant bookings, and reminders managed by the Bedrock AgentCore assistant in main.py.
• Property Showroom: Rich property galleries, feature highlights, and availability status rendered by the React app in client/ to keep clients engaged.
• Team Command Center: Broker-only client/src/pages/Admin.tsx dashboard to assign agents, block calendars, and update property inventory.
• Lead Generation Assistant: Conversation-driven discovery questions capture buyer intent, auto-log lead summaries, and surface hot opportunities to the broker team.
• Guided Conversations: Natural-language prompts handled through the AWS Bedrock AgentCore runtime, enabling context-aware follow-ups and personalized recommendations.
• Always-On Memory: Session persistence inside the AgentCore runtime keeps the assistant aware of ongoing deals without additional database setup.

Built With

• agentcore
• bedrock
• strands-agent