Me+AI: Graduation Day

Thanks to the “Me+AI” course, you can give life to your wildest ideas about human and artificial intelligence collaboration.

Regardless of whether you’re into marketing, architecture or music, with us you can spread your wings and create practical tools that will help you in your work and everyday life. Are you ready to be inspired? See what the CampusAI community has surprised us with this time!

Mission: Save the data

A regular lesson on cybersecurity? Boring. What if students could experience a real hacker attack on their school and step into the shoes of a team of experts saving sensitive data? Mission: Save the data by Izabela Kusicielek is an innovative educational game where students compete in teams, solving tasks related to cybersecurity, AI and data analysis. They need to check the system logs, detect irregularities, secure accounts, decypher encrypted files and identify hackers. This takes a dynamic, narrative form that makes learning a real challenge.

What makes this project unique? The blend of emotions, competition and practical skills. Students not only learn how to recognize online threats, but also practice logical thinking, teamwork and using AI in data analysis. All this takes place within the atmosphere of an exciting game, where every decision can determine the team’s success or failure. Would your school manage in such a situation? We don’t know that, but one thing is certain – participants of the game Mission: Save the data will acquire practical knowledge that they can apply in the real world.

It’s a great example of how AI can enrich education by teaching through emotions and real challenges. Because nothing quite cements knowledge like practice!

Heartly

Caring for your health is more than just routine doctor visits. It’s the ability to respond to your body’s signals, remember about prevention and monitor daily habits. This is where Heartly comes in – Aleksandra Półchłopek’s idea for a personal health assistant. Instead of just sending reminders, Heartly would act proactively – analyzing user data, suggesting check-ups, adjusting daily plans based on health status, and integrating with wearable devices. The idea also includes a motivational module – a system of challenges and community support that would make looking after your health easier and more engaging.

Could such a solution become a part of our lives? It’s an ambitious vision. One thing is certain – to truly understand the purpose of an application, its unique features and the sensibility of the investment, it’s a good idea to conduct a proof of concept. With the assistance of AI, Aleksandra prepared a plan that includes the concept of the application, an analysis of input data, user interaction models, and an evaluation of risks and legal aspects. Heartly would integrate data from different sources – from test results and visit histories, through information from IoT devices, to symptom analysis entered by the user. Thanks to AI, it could generate personalized recommendations, predict potential health issues and support users in their daily self-care.

At the same time, every modern AI-based system must confront challenges such as personal data protection, algorithm decision transparency or the ethical use of health predictions. The project also considers these aspects and outlines ways to ensure compliance with regulations (e.g., GDPR or AI Act).

Heartly is a perfect example that innovation does not end with the idea – a realistic analysis of implementation also matters.

B-Land. Style in hand

In the world of e-commerce, it’s not just about selling products, but also the ability to predict trends, manage the catalog effectively and make business decisions that have a real impact on sales results. This is where artificial intelligence comes in, and Łukasz Szymula’s project proves that well-designed AI tools can help run a business.

His strategy focuses on smart demand forecasting, inventory optimization and logistics management automation. Thanks to the analysis of thousands of data points – from customers’ purchase history, through seasonal sales shifts, to competitors’ dynamic pricing – AI can identify which products to promote, which might soon become bestsellers, and how to best manage the inventory to avoid stock shortages or excesses.

The key component of the project is an AI-based recommendation engine that personalizes the offer, resulting in real sales increases. Properly adjusted algorithms can offer suggestions to customers and recommend strategic changes to a store’s portfolio. It’s a huge time saver, and also an advantage over the competition, because decisions are not made on a hunch, but based on data and real-time analysis.

The project shows that AI in e-commerce is more than just better advertising – it’s a thoughtful, intelligent business management where technology supports strategic decisions.

So what now? Are you joining?