Real Estate App

Using ChatGPT in a Real Estate

Business needs:
  • Enhance customer support and engagement
  • Improve the user experience
  • Enable users to search, view, and compare properties
Industry:

Web

Real Estate

Real Estate App poster

Technology stack used

PostgreSQL
PostgreSQL
Angular
Angular
Sass
Sass
Python
Python
PostgreSQL
PostgreSQL
Angular
Angular
Sass
Sass
Python
Python

The key features

    • Intelligent Chatbot: Integrated ChatGPT as a conversational chatbot to provide instant and accurate responses to customer queries about property listings, pricing, amenities, and other real estate information.

    • Personalized Assistance: Trained ChatGPT on a real estate-specific dataset, enabling it to understand domain-specific language and offer personalized recommendations based on customer preferences and requirements.

    • Property Search and Comparison: Developed a user-friendly interface for property search, allowing users to filter listings based on location, price, size, and other criteria. Users could compare properties side-by-side, view images, and access detailed descriptions.

plavno
plavno
    • Appointment Scheduling and Notifications: Implemented a feature for users to schedule property viewings, request additional information, and receive notifications about new listings matching their criteria.

    • Data Privacy and Security: Ensured compliance with German data privacy regulations, such as GDPR, by implementing secure data storage, encryption techniques, and user consent mechanisms.

Solution

1

Our software development team delivered a real estate IT solution customized for the German market. The front-end development utilized Angular.js and Sass, providing an intuitive user interface for property search, comparison, and appointment scheduling.

For the back-end, Python with Django framework was employed to seamlessly integrate with the existing real estate platform. PostgreSQL was selected as the database for efficient data storage and retrieval. ChatGPT, trained on real estate-specific data, served as the intelligent chatbot, offering personalized recommendations and accurate responses to user queries.

Solution
2

The real estate data integration was achieved through APIs, utilizing platforms like Zillow and Realtor.com, and web scraping using BeautifulSoup for data extraction from relevant websites.

The solution ensured data privacy and security in compliance with German regulations. Sensitive information was stored securely, encrypted, and user consent was obtained for data processing.

3

The integrated ChatGPT chatbot significantly improved customer support, enabling instant and accurate responses to real estate-related inquiries. Users could easily search, view, compare properties, schedule appointments, and receive notifications about new listings, providing an enhanced user experience.

The real estate IT solution successfully addressed the specific needs of the German customer base by combining intelligent chatbot capabilities, real-time property information, and a user-friendly interface, creating an efficient and personalized real estate experience.

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