Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to content

Real Estate Search Engine is a cutting-edge platform designed specifically for the Andorran property market. Utilizing a fine-tuned model from OpenAI (babbage-002), the search engine offers unprecedented precision and speed. This innovative approach ensures that users receive the most relevant results quickly and efficiently.

Notifications You must be signed in to change notification settings

GRKdev/Real-State-AI

Repository files navigation

Real Estate Search Engine for Andorra

Overview

Our Real Estate Search Engine is a cutting-edge platform designed specifically for the Andorran property market. Utilizing a fine tuned model from OpenAI (babbage-02), the search engine offers unprecedented precision and speed. This innovative approach ensures that users receive the most relevant results quickly and efficiently, more than using traditional SQL agents or directly generating SQL from a large language model (LLM).

Features

  • Multilingual Support: Catering to a diverse audience with support for Catalan, Spanish, English, and French.
  • Advanced Search Filters: Users can refine their search with various filters and extra options to find their ideal property.
  • AI-Powered Queries: Leverages a fine-tuned OpenAI model to interpret search inputs and generate precise API queries.
  • Real-Time Updates: Dynamically updates search results, providing immediate access to the latest properties.
  • Voise Search: Utilizes OpenAI's Whisper API to process voice commands for search queries.

Why a Fine-Tuned Model?

Choosing a fine-tuned model over traditional SQL agents or directly generating SQL from a large language model (LLM) presents several advantages:

  • Precision: Fine-tuned models can better understand and process natural language queries, leading to more accurate search parameters and results.
  • Speed: Although fine-tuning requires significant initial effort, the resulting model provides faster responses by directly generating API queries.
  • Data Importance: The quality of the paramaters API heavily depends on the underlying data. Fine-tuning allows the model to leverage specific datasets for improved performance.

Expamle of a traning data:

{"prompt": "Penthouses for sale in Les Bons less than 400000 €%", "completion": "location=33&transaction_type=1&property_type=15&maxprice=400000%"}
{"prompt": "Lofts for sale in Ordino%", "completion": "location=5&transaction_type=1&property_type=18%"}

Technologies

  • Next.js: A React framework that enables functionality such as server-side rendering and generating static websites. Used for building the frontend interface, providing a dynamic and responsive user experience.
  • OpenAI's GPT (Babbage-02): A language model fine-tuned for this application to understand and process real estate queries efficiently.
  • OpenAI's Whisper API: A voice recognition API that allows users to input search queries using voice commands.
  • Vercel PostgreSQL: My choice for a highly scalable and managed database solution, ensuring robust and secure data management.
  • Deployment on Vercel Servers: For seamless hosting and superior performance, our platform is deployed on Vercel's cutting-edge infrastructure.
  • Clerk: A user authentication service that provides secure and customizable login functionality for our Real Estate Search Engine.

Demo

Experience our Real Estate Search Engine firsthand at rs.iand.dev.

About

Real Estate Search Engine is a cutting-edge platform designed specifically for the Andorran property market. Utilizing a fine-tuned model from OpenAI (babbage-002), the search engine offers unprecedented precision and speed. This innovative approach ensures that users receive the most relevant results quickly and efficiently.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published