Notice

The Inspiration

In a world dominated by sensory overload from social media, the younger generation struggles with diminished attention spans, making it harder for them to acquire knowledge and concentrate on lessons. However, the solution lies not in rebuilding the entire educational system but in integrating these stimuli into modern teaching methods.

Our project exemplifies this approach, demonstrating how these distractions can be harnessed to enhance focus and engagement. By adapting rather than overhauling, we present a middle ground that empowers learners without sacrificing the benefits of the digital age.

Let us inspire change, creating an educational paradigm that transforms challenges into opportunities for growth. Through this innovative perspective, we equip the younger generation with the skills to navigate the complexities of the modern world with focus and a genuine passion for learning.

What it does

New approach to acquire knowledge outside of the school:

1. Helps engaging in the topics: - Generating sensory stimulus learning material. - Uses already existing teaching books.
2. Tailored Learning with Technology: - Utilize generative AI to tailor content, making it more consumable for individuals with varying attention spans. - Envision a new approach through a roadmap that integrates picture-to-learning transformations powered by Azure Cloud and OpenAI.
3. Feedback-Driven Personalization: - Integrate Webgazer for real-time feedback on screen engagement, using heatmaps to identify and improve the most effective content areas. - Employ AI-generated quizzes to measure and adapt the effectiveness of learning sessions, providing a personalized learning journey based on individual styles through machine learning classification.

How we built it For

technologies we used:

• [React](https://react.dev/)
• [Webgazer.js](https://webgazer.cs.brown.edu/)
• [Heatmap.js](https://www.patrick-wied.at/static/heatmapjs/)

Challenges we ran into

Our biggest drawback, is the fact, that most of the Azure services we wanted to use, are only available for enterprise usage, so we had to use dummy data in most cases.

Accomplishments that we‘re proud of

Our teaching Demo speaks for itself. It is responsive, and modern approach to showcase, how can we engage younger generation‘s attention spam problems. By using our heatmap as the basis of the engagement feedback, we can customize the learning experience for the different learning styles that fits the best our students.

What we learned

We learned a lot about Azure Web Services, and how colourful is the palette of available tools provided by Microsoft.

What‘s next for ELEXAM

We would like to automate the whole functioning of the website. - using generative AI to create content, - automate the functioning, so the student doesn‘t feel overwhelmed by the learning process, - make it available for teachers, to help use it as a teaching aid.

The Problem
People often face long waiting lists for MRI or CT scans, causing significant stress. The average waiting time for an MRI is over 2/3 of a year, while for a CT scan, it's nearly 3 months (source). This issue stems from various factors such as financial constraints, labor shortages, limited resources in the healthcare sector, and the need to reallocate existing resources.

Transparency
To address the lack of transparency in waiting lists, we propose creating a new list that prioritizes patients based on processed data, taking into account relevant inputs without revealing specific information. Our alternative approach relies on patient consent. However, transparency is not the only problem; the distribution of wealth has hindered the full potential of both public and private healthcare systems.

Our solution
To alleviate strain on the overwhelmed public healthcare sector, we present a groundbreaking solution. By engaging the private sector, we can prevent unnecessary fatalities. Private facilities can contribute to the common good and receive tax subsidies in return. Our role would be to connect both parties through our application.

The algorithm
Our envisioned algorithm provides independent results, ensuring transparency and reliability. It considers factors such as age, disease severity, chance of healing, and tumor growth rate if applicable. Our application is not limited to providing services but also offers an API for integration into existing healthcare frameworks. Patients can choose whether to publish their processed health data and trust us with their medical documents.

The scalability
Expanding beyond national boundaries, we aim to tap into the potential of the European healthcare system. We can offer more optimal and comfortable alternatives for individuals who may be geographically isolated from their national facilities but closer to foreign ones. Our goal is to provide a smoother experience for these patients. For companies with stronger financial capabilities, we enable a seamless transition between national and international or public and private sectors. They can finance medical examinations in advance and receive reimbursement from public health insurance later.

Summary
In summary, the extended waiting times for MRI and CT scans pose significant challenges. Our proposal involves a transparent yet privacy-preserving approach, leveraging the private sector's support to improve healthcare access. With an independent and reliable algorithm, we aim to provide personalized care, integration with existing systems, and opportunities for patients to make informed decisions. By expanding services beyond borders, we can enhance the overall healthcare experience.

The biggest obstacle to be overcome by the K&H parking app is the motivation of employees to use it. According to our team's thinking, the most important thing was to develop a suitable motivation system, in addition to providing them with an intuitive and easily expandable interface, which is adaptive to the user's needs, can be used for fast and slow, but predictable bookings. Sustainability in the application also received special attention, so all actions aimed at this are encouraged with special importance, so that these functions were integrated into the system to ensure continuity. But what is our idea? This is explained in detail in the following chapters.

The basis of the concept
Our first observation after seeing the task was that K&H is a financial institution. Accordingly, a solution tailored to the financial institution is required for the problem. What goes on in the minds of bank employees. In addition to being analytical and reliable, they are also full of competitive spirit. And what better way to whip up this competitive spirit in them than some familiar phenomenon in which they already have sufficient experience. The stock market. It requires demand, supply, liquidity and a properly enforced set of rules. This is what we created in use, but instead of securities, parking spaces are at the center of trading. In this way, we essentially provide part of the motivation to use the application with a kind of gamification.

Using less energy is always a good idea. We created an IoT smart-grid for air quality measuring, with this, we can control air ventilation, achieving financial savings, and health benefits and also it helps to prevent mold. We are using perception illusions to gain thermal comfort. For more details, here is the link for the one-pager, and also the full documentation.

Personalized, dynamic, captivating. Forget about all the useless advertisment e-mails, spams or unwanted notifications. 2D AI will provide dynamically changing promotions, customized tiered programs, etc., so the companies (e.g KFC) could provide their customers the most preferred loyalty program.

A dynamic loyalty system ran by a 2D AI

Abstract
Antavo offers a wide variety of loyalty services from which a customercan choose what fits best for them. But the days of one-size-fits-all are gone. We offer a dynamically changing 2D AI modul that’s designed for both the customer (e.g. KFC) and the end user (e.g. KFC customer) to maximalize loyalty service's profit for both parties.
Customer’s view
Antavo’s customers (like KFC, Biotech) will be able to adjust the AI according to marketing preferences and desired brand positioning. The modul will make sure to choose the best service combination to maximise the profit. The customer will have a better control over their brand to be able to increase their revenue with the least effort possible. They will earn higher revenue compared to the previous program offered by the platform.
End user’s view
The customers serves people from diverse backgrounds and they are all different, just as our solution. Some prefer coupons, some likes to feel exclusive. Our system will take their preferences into consideration, when choosing the loyalty service type, this way their desires will be fulfilled without even noticing it.
Software side
Our solution is easily integrable, thanks to its own GraphQl API Gateway. As for being highly scalable we use non sequential database, which is capable of storing enormous amount of user data. To solve the problem of high request rate we are utilising Docker Orchastration so that the horizontal scalabilty wouldn't have any limitations. The service could be handled as an optional extension to the existings counterparts to optimze the effectivness of loyality programs. Our backend server would provide an AI based solution which could live up to worldwide industry standards. We're planning to make a Dynamic Loyalty System by constantly monitoring the behavior of the customers. With this method, they could get the best discounts, e.g: if someone likes to order food rather than eating at the restaurant, they could get more deduction on home deliveries. The AI could evaluate the user's preferences, but also the optimal loyalty program, so each user would have their personal experience.
Why is it profitable?
The application of the artificial intelligence could eliminate the unnecessary expenses on behalf of the service’s costumer. On the other hand it is capable to provide adequate content for different target groups. Therefore the end user could enjoy an overall more pleasant experience to enhance further purchases, and build up a loyalty towards certain brands.
Summary
Our product provides such a solution, that has never been implemented in this segment. With this, Antavo could step up their loyalty program.