AI & Machine Learning

Web3 Development

NFT & Metaverse

Blockchain Development

Blockchain Solutions

Products

Get in Touch
arrow-left Back to ‘Today at Nextrope Blog’

Blockchain in Real Estate Market – a Chance for Revolution the Industry

Maciej Zieliński

04 Apr 2023
Blockchain in Real Estate Market – a Chance for Revolution the Industry
Table of Contents

Introduction

In recent years, the total value of real estate was estimated to over 200 trillion dollars. In comparison, the value of every ounce of gold ever mined by the humanity across the generations is around 30 times lower. However, despite experiencing such a rapid growth, real estate market fails to introduce meaningful innovations to accommodate and capitalize on its success. Introducing blockchain in real estate market strives to break the mould and end the age of stagnation.

Benefits of Incorporating Blockchain in Real Estate Market

It appears that Blockchain is an answer to many persistent issues with the industry, without the risk of increasing the costs. Its incorporation brings a number of benefits, from which we can single out the most important:

Benefits of Incorporating Blockchain in Real Estate Market
Identical records for many stakeholders
Easily accessible information
Decentralisation and digitalisation of mortgage register
Opening the market for the less affluent
A chance to increase the liquidity of the assets
Clarity of purchase and renting processes
Reducing the risk of fraud or manipulation
The appearance of smart contracts

The Urgency of Introducing Blockchain in Real Estate Market

The appearance of platforms such as Zillow, which allows its users to store and access the real estate lists was a ground-breaking event for the market. Nevertheless, as the time passed by, people noticed the faulty nature of such solutions.

Subscribing to such a service generates additional costs, and so a lengthy period of sale might prove to be a strain for the budget. What is more, there is no standardisation of processes and communication within the services – this can prove detrimental towards the accuracy or even the relevancy of data stored within them.

Innovative Platforms for Real Estate Industry

Decentralized databases, powered by blockchain technology, could potentially address numerous challenges faced by the real estate industry. By distributing data across a peer-to-peer network, brokers can gain more control over the content they offer while minimizing third-party involvement. This would facilitate access to highly reliable information for users without straining their budget.

A prime example of this solution can be seen in Imbrex's real estate market, which operates on the Ethereum platform. Through encryption and data storage within the blockchain, servers have no authority over the real estate agents' sale announcements. Moreover, Imbrex's listings are updated in real time, making them far more efficient at delivering the latest information compared to traditional platforms.

Secure Storage of Land Registry on the Blockchain

Despite increased digitalization worldwide, it is concerning that most mortgage registries are still held in paper form. These important documents are susceptible to theft, manipulation, and physical destruction due to their fragile nature. The Haitian earthquake tragedy serves as a poignant example where disappearing registries led to massive conflicts over property ownership.

The vulnerability of paper forms is not the only issue; centralization of data storage also poses problems if no backup copies are available during unforeseen disasters. Consequently, storing mortgage registries within digital blocks of chain can significantly benefit the real estate industry. Decentralizing the database would lower potential risks associated with destruction or theft, and ensure that server downtime doesn't interfere with operations. Additionally, blockchain technology ensures that information cannot be edited, eliminating possibilities of manipulation and forgery.

Consistency in Real Estate Transactions through Blockchain

A major challenge within the current system is its oversaturation with stakeholders who often lack trust in one another. This leads to significant risks linked to inaccurate and fragmented data concerning real estate assets.

Inconsistency in documentation for parties involved contributes to scams, insecurity, and ambiguity within land management processes. Clients may need to undergo the same procedure multiple times, causing frustration and discouragement. The demand for change has been highlighted through RICS research, focusing on how primary market participants acquire and utilize information.

That is why, the standardisation of documents can be a key to success for the real estate market. The creation of decentralized database has been a longstanding goal of many companies, one of which is Propy. Its platform is based on the technology of database of blocks, which saves the data on a network of millions of nodes. Thanks to this, stakeholders have an access to identical copies of data, the consistency of which is verified in the real time by a software installed to each and every device. In such a model, trust is not a factor effecting the smooth exchange of information as the system forces its users to remain credible.

This and many other similar innovations together with IREDEC (International Real Estate Data Exchange Council) which is focused on standardising the basic set of data needed to enact the processes of real estate, gives us a bright perspective for the future.

Blockchain in Real Estate Market - Co-owning and Democratization Era

Currently one of the biggest obstacles which beginner investors face in the real estate market, is the high entry level. Crowd owning may turn out to be their dream solution. If I cannot afford the funding myself, why wouldn’t I just cooperate with others to achieve it? BitOfProperty is one of the companies which will allow the purchase and division of assets in separate units. The following process Is based on the tokenization – creation of virtual substitutes of real funds, which is perhaps the most revolutionary innovations of blockchain. A potential investor can purchase the individual tokens which are an equivalent of his desiredpart of a real estate. This opens up the market for the investors with smaller financial capacity and provides them with opportunities they didn’t have before.

  • Tokenisation in Practise

Pre-war villas in one of Warsaw’s most prominent districts – Żoliborz are reaching the transaction prices of around 2.5 million zlotys (approx. 650k dollars) which vastly exceeds the monetary capabilities of an average buyer. However, lets imagine that our seller tokenises the house. Then, lets consider that five separate buyers purchase one token whichcosts 500k zlotys (approx. 130k dollars). Such a price is much more affordable for a much larger group of investors. In this particular case, the five of our buyers are going to sign a smart contract with multiple signatures, which is going to make sure that every single decision concerning the house is carried out democratically and without the need of third-party supervision.

  • The Increase in Markets Liquidity

Thanks to the process of tokenisation, the real estate market will cease to be perceived as a “playground” for the richest. It will allow its democratisation. However, its far from being its only benefits.

The tokens could potentially become something of a cryptocurrency, which can be freely traded with the usage of designated platforms. This would reduce the widespread problem of finding a potential buyer. Instead of selling an entire property, its owner could sell a separate token, which could be an equivalent of its separate part.

The Clarity of Leasing

The process of renting is also made easier with Blockchain. It is possible to create a platformwhich gathers the information about the properties and their potential tenants in its decentralised network. It makes the process for both parties – the tenant gets all the information in one place and the landlord gains certainty about their reliability. Such a model would gain a significant advantage in a situation when one property would have many potential clients. The landlord would have an ability to compare the applications of every one of them and choose the most trustworthy and the one who would be willing to pay the most. Rantberry is one of the examples of such an application that allows the long-term rent of property in over 50 countries including Poland.

The Innovative Possibilities of the Smart Contracts

The aforementioned smart contracts allow its users to bring some visible changes to the real estate market. The incorporation of them which is based on the blockchain system will help at automatizing and simplifying even the most tedious and complex procedures.

An example of their usage could the automatized methods of lease agreement, which besidethe ability to secure the interests of both sides could potentially allow for supervision of established terms like monthly payment of rent. The process will be simplified and will be made cheaper because it wont have to involve the third party.

Conclusion

Smaller and bigger investors, the landlords, real estate agencies and even the state institutions could improve their actions thanks to the introduction of the Blockchain technology. Land and building registration held in a scattered database, identical records for many stakeholders, tokenisation of the value of the property is not just a musing on the futurebut a reality which is implemented even today.

You have to think of the blockchain as a new utility. It is a new utility network for moving value, moving assets.

William Mougayar, autor The Business Blockchain : Promise, Practice, and Application of the Next Internet Technology

Thirty years ago, the data was stored on mere floppy discs , which had to be brought to the meetings for sides to exchange the information. Indeed, the internet has allowed to revolutionise the real estate market but it is Blockchain which could potentially provide it with the burst of energy it desperately needs in the ever increasing demand for innovation.

Tagi

Most viewed

Never miss a story

Stay updated about Nextrope news as it happens.

You are subscribed

Master UI Component Creation with AI: The Ultimate Guide for Developers

Gracjan Prusik

24 Mar 2025
Master UI Component Creation with AI: The Ultimate Guide for Developers

Introduction

Modern frontend development is evolving rapidly, and creating UI components with AI tools is helping developers save time while enhancing interface quality. With AI, we can not only speed up the creation of UI components but also improve their quality, optimize styles, and ensure better accessibility.

This article explores how creating UI components with AI is transforming frontend development by saving time and improving workflows. Specifically, we will discuss:

  • Generating components from images,
  • AI for style analysis and optimization,
  • Automatic style conversion and code migration,
  • AI in generating UI animations.

Creating UI Components with AI from Images

One of the interesting applications of AI in frontend development is the ability to generate components from an image. AI can recognize the structure of the interface and generate HTML/CSS or JSX code that matches the provided image. One of the most popular tools for UI creation is Lovable.

For testing, let's see how the tool performs in creating a simple contact form from the page you are currently on, which is Nextrope.

Query:

"Recreate the image I've sent you in Next.js using CSS."

Sample image used in the query:

The result received:

Tworzenie komponentów UI - Wygenerowany widok

Lovable did an excellent job transforming the image into code. The view is fully responsive. It’s important to remember that the more precise the request, the better the AI will replicate the expected view. However, even with a simple command, the tool performed surprisingly well.

Of course, AI has its limitations. It still makes quite a few mistakes. The generated code still requires review and fixes from the developer, but in some cases, the entire process is significantly sped up—correcting the code often takes less time than creating the component from scratch.

Optimizing UI Components with AI Tools for Style Improvements

This problem of inaccurate code reproduction by AI can be partially addressed by using it to analyze and improve styles. Tools like ChatGPT, DeepSeek and Claude are capable of not only generating code but also diagnosing CSS errors and suggesting why a particular style might not be working as expected.

Simple example: Why is the div not centered?

Query: "Why is this div not centered?"

AI analyzes the code and provides the following response:

Problem: The parent container does not have a defined width or display: flex.
Solution: Add the appropriate styles to the parent container.

.parent {
  display: flex;
  justify-content: center;
  align-items: center;
  width: 100vw;
  height: 100vh;
}

AI for Automatic Style Conversion and Code Migration in UI Components

AI can assist with style conversion between different technologies, such as transferring code from traditional CSS to Styled Components or Tailwind CSS.

Let's assume we have a style written in traditional CSS:

.button {
  background-color: blue;
  color: white;
  padding: 10px 20px;
  border-radius: 5px;
  transition: background-color 0.3s ease;
}

.button:hover {
  background-color: darkblue;
}

We can use AI for automatic conversion to Styled Components:

import styled from "styled-components";

const Button = styled.button`
  background-color: blue;
  color: white;
  padding: 10px 20px;
  border-radius: 5px;
  transition: background-color 0.3s ease;

  &:hover {
    background-color: darkblue;
  }
`;

export default Button;

AI can also assist in migrating code between frameworks, such as from React to Vue or from CSS to Tailwind.

This makes style migration easier and faster.

How AI Enhances UI Animation Creation

Animations are crucial for enhancing user experience in interfaces, but they are not always provided in the project specification. In such cases, developers have to come up with how the animations should look, which can be time-consuming and require significant creativity. AI, in this context, becomes helpful because it can automatically generate CSS animations or animations using libraries like Framer Motion, saving both time and effort.

Example: Automatically Generated Button Animation

Suppose we need to add a subtle scaling animation to a button but don't have a ready-made animation design. Instead of creating it from scratch, AI can generate the code that meets our needs.

Code generated by AI:

import { motion } from "framer-motion";

const AnimatedButton = () => (
  <motion.button
    whileHover={{ scale: 1.1 }}
    whileTap={{ scale: 0.9 }}
    className="bg-blue-500 text-white px-4 py-2 rounded-lg"
  >
    Press me
  </motion.button>
);

In this way, AI accelerates the animation creation process, providing developers with a simple and quick option to achieve the desired effect without the need to manually design animations from scratch.

Summary

AI significantly accelerates the creation of UI components. We can generate ready-made components from images, optimize styles, transform code between technologies, and create animations in just a few seconds. Tools like ChatGPT, DeepSeek, Claude and Lovable are a huge help for frontend developers, enabling faster and more efficient work.

In the next part of the series, we will take a look at:

If you want to learn more about how AI is impacting the entire automation of frontend processes and changing the role of developers, check out our blog article: AI in Frontend Automation – How It's Changing the Developer's Job?

Follow us to stay updated!

Tagi

AI in Real Estate: How Does It Support the Housing Market?

Miłosz Mach

18 Mar 2025
AI in Real Estate: How Does It Support the Housing Market?
Table of Contents

The digital transformation is reshaping numerous sectors of the economy, and real estate is no exception. By 2025, AI will no longer be a mere gadget but a powerful tool that facilitates customer interactions, streamlines decision-making processes, and optimizes sales operations. Simultaneously, blockchain technology ensures security, transparency, and scalability in transactions. With this article, we launch a series of publications exploring AI in business, focusing today on the application of artificial intelligence within the real estate industry.

AI vs. Tradition: Key Implementations of AI in Real Estate

Designing, selling, and managing properties—traditional methods are increasingly giving way to data-driven decision-making.

Breakthroughs in Customer Service

AI-powered chatbots and virtual assistants are revolutionizing how companies interact with their customers. These tools handle hundreds of inquiries simultaneously, personalize offers, and guide clients through the purchasing process. Implementing AI agents can lead to higher-quality leads for developers and automate responses to most standard customer queries. However, technical challenges in deploying such systems include:

  • Integration with existing real estate databases: Chatbots must have access to up-to-date listings, prices, and availability.
  • Personalization of communication: Systems must adapt their interactions to individual customer needs.
  • Management of industry-specific knowledge: Chatbots require specialized expertise about local real estate markets.

Advanced Data Analysis

Cognitive AI systems utilize deep learning to analyze complex relationships within the real estate market, such as macroeconomic trends, local zoning plans, and user behavior on social media platforms. Deploying such solutions necessitates:

  • Collecting high-quality historical data.
  • Building infrastructure for real-time data processing.
  • Developing appropriate machine learning models.
  • Continuously monitoring and updating models based on new data.

Intelligent Design

Generative artificial intelligence is revolutionizing architectural design. These advanced algorithms can produce dozens of building design variants that account for site constraints, legal requirements, energy efficiency considerations, and aesthetic preferences.

Optimizing Building Energy Efficiency

Smart building management systems (BMS) leverage AI to optimize energy consumption while maintaining resident comfort. Reinforcement learning algorithms analyze data from temperature, humidity, and air quality sensors to adjust heating, cooling, and ventilation parameters effectively.

Integration of AI with Blockchain in Real Estate

The convergence of AI with blockchain technology opens up new possibilities for the real estate sector. Blockchain is a distributed database where information is stored in immutable "blocks." It ensures transaction security and data transparency while AI analyzes these data points to derive actionable insights. In practice, this means that ownership histories, all transactions, and property modifications are recorded in an unalterable format, with AI aiding in interpreting these records and informing decision-making processes.

AI has the potential to bring significant value to the real estate sector—estimated between $110 billion and $180 billion by experts at McKinsey & Company.

Key development directions over the coming years include:

  • Autonomous negotiation systems: AI agents equipped with game theory strategies capable of conducting complex negotiations.
  • AI in urban planning: Algorithms designed to plan city development and optimize spatial allocation.
  • Property tokenization: Leveraging blockchain technology to divide properties into digital tokens that enable fractional investment opportunities.

Conclusion

For companies today, the question is no longer "if" but "how" to implement AI to maximize benefits and enhance competitiveness. A strategic approach begins with identifying specific business challenges followed by selecting appropriate technologies.

What values could AI potentially bring to your organization?
  • Reduction of operational costs through automation
  • Enhanced customer experience and shorter transaction times
  • Increased accuracy in forecasts and valuations, minimizing business risks
Nextrope Logo

Want to implement AI in your real estate business?

Nextrope specializes in implementing AI and blockchain solutions tailored to specific business needs. Our expertise allows us to:

  • Create intelligent chatbots that serve customers 24/7
  • Implement analytical systems for property valuation
  • Build secure blockchain solutions for real estate transactions
Schedule a free consultation

Or check out other articles from the "AI in Business" series

Tagi