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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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

AI-Driven Frontend Automation: Elevating Developer Productivity to New Heights

Gracjan Prusik

11 Mar 2025
AI-Driven Frontend Automation: Elevating Developer Productivity to New Heights

AI Revolution in the Frontend Developer's Workshop

In today's world, programming without AI support means giving up a powerful tool that radically increases a developer's productivity and efficiency. For the modern developer, AI in frontend automation is not just a curiosity, but a key tool that enhances productivity. From automatically generating components, to refactoring, and testing – AI tools are fundamentally changing our daily work, allowing us to focus on the creative aspects of programming instead of the tedious task of writing repetitive code. In this article, I will show how these tools are most commonly used to work faster, smarter, and with greater satisfaction.

This post kicks off a series dedicated to the use of AI in frontend automation, where we will analyze and discuss specific tools, techniques, and practical use cases of AI that help developers in their everyday tasks.

AI in Frontend Automation – How It Helps with Code Refactoring

One of the most common uses of AI is improving code quality and finding errors. These tools can analyze code and suggest optimizations. As a result, we will be able to write code much faster and significantly reduce the risk of human error.

How AI Saves Us from Frustrating Bugs

Imagine this situation: you spend hours debugging an application, not understanding why data isn't being fetched. Everything seems correct, the syntax is fine, yet something isn't working. Often, the problem lies in small details that are hard to catch when reviewing the code.

Let’s take a look at an example:

function fetchData() {
    fetch("htts://jsonplaceholder.typicode.com/posts")
      .then((response) => response.json())
      .then((data) => console.log(data))
      .catch((error) => console.error(error));
}

At first glance, the code looks correct. However, upon running it, no data is retrieved. Why? There’s a typo in the URL – "htts" instead of "https." This is a classic example of an error that could cost a developer hours of frustrating debugging.

When we ask AI to refactor this code, not only will we receive a more readable version using newer patterns (async/await), but also – and most importantly – AI will automatically detect and fix the typo in the URL:

async function fetchPosts() {
    try {
      const response = await fetch(
        "https://jsonplaceholder.typicode.com/posts"
      );
      const data = await response.json();
      console.log(data);
    } catch (error) {
      console.error(error);
    }
}

How AI in Frontend Automation Speeds Up UI Creation

One of the most obvious applications of AI in frontend development is generating UI components. Tools like GitHub Copilot, ChatGPT, or Claude can generate component code based on a short description or an image provided to them.

With these tools, we can create complex user interfaces in just a few seconds. Generating a complete, functional UI component often takes less than a minute. Furthermore, the generated code is typically error-free, includes appropriate animations, and is fully responsive, adapting to different screen sizes. It is important to describe exactly what we expect.

Here’s a view generated by Claude after entering the request: “Based on the loaded data, display posts. The page should be responsive. The main colors are: #CCFF89, #151515, and #E4E4E4.”

Generated posts view

AI in Code Analysis and Understanding

AI can analyze existing code and help understand it, which is particularly useful in large, complex projects or code written by someone else.

Example: Generating a summary of a function's behavior

Let’s assume we have a function for processing user data, the workings of which we don’t understand at first glance. AI can analyze the code and generate a readable explanation:

function processUserData(users) {
  return users
    .filter(user => user.isActive) // Checks the `isActive` value for each user and keeps only the objects where `isActive` is true
    .map(user => ({ 
      id: user.id, // Retrieves the `id` value from each user object
      name: `${user.firstName} ${user.lastName}`, // Creates a new string by combining `firstName` and `lastName`
      email: user.email.toLowerCase(), // Converts the email address to lowercase
    }));
}

In this case, AI not only summarizes the code's functionality but also breaks down individual operations into easier-to-understand segments.

AI in Frontend Automation – Translations and Error Detection

Every frontend developer knows that programming isn’t just about creatively building interfaces—it also involves many repetitive, tedious tasks. One of these is implementing translations for multilingual applications (i18n). Adding translations for each key in JSON files and then verifying them can be time-consuming and error-prone.

However, AI can significantly speed up this process. Using ChatGPT, DeepSeek, or Claude allows for automatic generation of translations for the user interface, as well as detecting linguistic and stylistic errors.

Example:

We have a translation file in JSON format:

{
  "welcome_message": "Welcome to our application!",
  "logout_button": "Log out",
  "error_message": "Something went wrong. Please try again later."
}

AI can automatically generate its Polish version:

{
  "welcome_message": "Witaj w naszej aplikacji!",
  "logout_button": "Wyloguj się",
  "error_message": "Coś poszło nie tak. Spróbuj ponownie później."
}

Moreover, AI can detect spelling errors or inconsistencies in translations. For example, if one part of the application uses "Log out" and another says "Exit," AI can suggest unifying the terminology.

This type of automation not only saves time but also minimizes the risk of human errors. And this is just one example – AI also assists in generating documentation, writing tests, and optimizing performance, which we will discuss in upcoming articles.

Summary

Artificial intelligence is transforming the way frontend developers work daily. From generating components and refactoring code to detecting errors, automating testing, and documentation—AI significantly accelerates and streamlines the development process. Without these tools, we would lose a lot of valuable time, which we certainly want to avoid.

In the next parts of this series, we will cover topics such as:

Stay tuned to keep up with the latest insights!