Real Estate Agent – Appointment Booking System

Project Snapshot

• Industry: Real Estate / PropTech

• Client Type: Real Estate Agencies & Property Platforms

• Duration: Multi-phase implementation

• Deployment Model: Cloud-native conversational AI system

• Technologies: Python, FastAPI, LangChain, Faiss, OpenAI LLM, AWS EC2

The Challenge

Real estate agencies often face challenges in managing customer inquiries, property searches, and scheduling appointments. Common issues included:

• Manual handling of property queries leads to delays in customer responses

• Lack of a smart, conversational interface to assist potential buyers/renters

• No automated mechanism for appointment scheduling with agents

• Difficulty in providing relevant property recommendations quickly and accurately

Our Solution

We developed an AI-powered conversational assistant to streamline property searches and appointment bookings:

• Conversational AI Assistant

  • Integrated LangChain with OpenAI LLM to enable natural, human-like conversations with users.

  • Assisted customers in browsing listings, asking property-specific questions, and scheduling visits.

• Retrieval-Augmented Property Search

  • Implemented Faiss vector database with embeddings to deliver semantic property search.

  • Allowed users to find properties faster using natural language queries instead of keyword searches.

• Automated Appointment Scheduling

  • Designed workflows to book appointments with real estate agents directly via the assistant.

  • Reduced manual intervention and improved customer experience.

• Cloud Deployment

  • Built on FastAPI with deployment on AWS EC2, ensuring scalability and high availability.

The Impact

This solution delivered strong benefits for real estate agencies:

• Enhanced Customer Experience → Faster property discovery and instant scheduling

• Reduced Manual Workload → Automated responses and booking processes saved agents time

• Smarter Property Search → Vector-based semantic search improved relevance and accuracy of recommendations

• Scalable AI Deployment → Cloud-native system supported high traffic and multiple property databases

Our Role

We collaborated with the client to:

• Build a conversational AI assistant for real estate bookings

• Implement RAG-based property search using LangChain and Faiss

• Design appointment scheduling workflows integrated with agents’ calendars

• Deploy and scale the solution on AWS EC2 with FastAPI

Client Testimonial

“The AI assistant transformed how we interact with property seekers. From smart search to automated scheduling, it made the process seamless and efficient for both clients and agents.”
— Head of Digital Strategy, Real Estate Firm