Keep your data chained. Blockchain keeps it safe!

Maciej Zieliński

18 Dec 2019
Keep your data chained. Blockchain keeps it safe!

Julia Wolińska

The top corporations agree about our predictions concerning the future. Every year we hear more and more promises about the Internet of Things, which is going to make us forget about all our issues... even if we did not know about their existence!

After leaving the work you are going to get into your car, which is going to bring you right to the address of your home. With only a single touch you can turn on the lights and check if the current contents of your fridge can satisfy your cravings. Just remember not to drink your coffee – your health monitoring app will make sure that you don’t succumb to unhealthy habits and it already knows your blood pressure should not be too high! It is just hard to believe that the internet alone can make your life so much more convenient

However, the moment you lay down on your comfy sofa, something else happens. During the synchronisation of data from your virtual debit card and your navigation app, you are not the only one gaining the info from them. Your actions are actively being watched by hackers. They are making sure that they know your address and the time you are leaving your house.

While it can really sound like a vision from some science fiction thriller, it’s entirely possible that the incoming technological revolution will lead to such circumstances. The question appears; would we surrender our privacy for an access to incredible convenience?

You could, however, also protecting your data. Then you would not have to expose yourself to potential data theft and use all of the miracles of technology without a single worry. How, you my ask? The answer lies in the block of chains.

Vulnerable data and its risks

Take a moment to consider how does the information flow within your family and friend groups. Well, naturally, it is usually done by verbal exchanges which usually letyou know about their customs, preferences and habits. During conversations, you and your friends gather data about each other, you learn about the music you listen to, what do you want to eat for dinner or if you are allergic to peanuts.

As it turns out, the domestic appliance or even car manufacturers wish to initiate the same dialogue with you - they want to get to know you as well as your friends and family do through the power of internet. They are aiming to adapt their appliances to improve your experience with them and they want to do that by gathering the necessary data about your everyday life.

However, the problem arises the moment we are talking about the vulnerable data. It is for example your address, information about your bank accounts or investments, your workplace or data about your customers, details about your health. This is the data that should not ever be revealed to any unwanted third parties but are often unfortunately under the attack from hackers.

It turns out that if your everyday use devices are connected to the internet, it is possible to hack not only your computer or your laptop but also your domestic appliances and car.

IoT nie jest bezpieczny bez blockchaina - ochrona danych

More often do the voices appear that the internet in its modern form is not a good foundation for the absolutely humongous network of the internet of things. That is why the research has begun to find a safer, more anonymous medium which would not be as vulnerable towards the attacks. The experts believe that no other technology than the one offered by the blockchain would suffice to pull this task off.

Blockchain - the way to keep the IoT safe

Blockchain was made viral during the time of the cryptocurrency boom in 2016. However, there is still a lot of people who find the concept quite enigmatic. It is often wrongly associated with the phenomenon of Bitcoins. After all, the usability of the blockchain goes far beyond the financial sector. We can briefly say that it is a kind of technology which is used to gather the data about our transactions on the internet safely and anonymously.

Blockchain is a database which is formed by the chain of the blocks connected to it, which it derives its name from. Each and every individual block is connected to next one. What’s important is that all the gathered and saved information are not stored onone server or on one device – they are scattered and encrypted and their anonymouscopies are held inside of multiple locations. Thanks to this method the risk of hacking or stealing such data is equal to zero.

The public registry can be presented as a giant piece of paper which holds every single data concerning your address, financial data or even health which was copied and sent to multiple locations around the world. Those pieces of paper are interconnected in a cryptographic way. They are constantly compared and “prescribed” on new datasheets. That means that the mathematic properties can assure that they cannot be removed, replaced or completely altered.

The mechanism does not only help us fight against the scams, but also allows us to learn about the external conditions such as the weather, which can be also verified by the use of the modern systems.

Chained data- how to keep it safe

According to the most recent report „IoT in Poland”, 47% of Poles are afraid that theirdata can be leaked and 33% of them are afraid of losing the control over their devices connected to the web. Will those anxieties be fixed by the blockchain? Perhaps this might be the foundation for the new network to which most of the modern devices will be connected to with the usage of IoT. Its almost impossible to hack the block of chains because of its complexity, while hacking the home WiFi only requires a moderate IT knowledge.

Currently, if we forget to turn off the sink, the only risk we create is potentially floodingour neighbours’ flat. However, if we forget about the safe usage of IoT devices, we are can potentially face much greater consequences like the risk of hacking the entirenetwork they are connected to. Without the blockchain we will be potentially risking not only the safety of our data, but also the data belonging to our clients. When will the ideal, safe and practical future unfold? No one can truly tell, but we must remain vigilant and teach the companies to slowly but steadily implement the blockchain technology.

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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?

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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?

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
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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