Put yourself in the shoes of a senior spending his retirement days in a long-term care facility. Aside from meals in the common room, the highlight of your day is a fleeting visit from an overworked caregiver quickly checking your vitals before rushing off to his next resident. While this is a far-off scenario for the audience of a student blog, this will soon become a reality for our parents’ generation.

Populations are aging globally. Life expectancies increase while fertility levels tend to stay low (United Nations, 2023). A development that is also present in the Netherlands. By 2040 the Dutch population is expected to have an old-age dependency ratio of around 46% (Directorate-General for Economic and Financial Affairs, 2024). Additionally, the workforce of caregivers won’t grow proportional to the rising demand.

Therefore, we shaped the mission: to enhance senior care by leveraging AI technology to deliver personalized and proactive care. The solution is a software platform called ElderWatch, which is a Generative AI-powered conversational companion model by delivers values to three major parties: elderly individuals, caregivers, and administrators of LTC facilities.

How does it work:

Every senior of a long-term care home gets his/her elderly assistant, offering them an opportunity to engage in conversations throughout the day. Whether sharing personal matters, discussing politics, or chatting about a famous TV show, the idea is for the senior to spend time with his assistant to prevent feelings of social isolation. Besides the emotional support, the assistant also guides seniors through their day, reminding them of important appointments or helping to comply with their medication schedules. Lastly, the elderly assistant engages in cognitive games with a senior to maintain their cognitive abilities and keep their minds active.

In addition to the seniors, the elderly assistant also benefits the caregivers by allowing for more effective visits. Before each visit a caregiver can generate a briefing report summarizing the most important and recent information on a senior. This allows the caregivers to quickly prepare and personalize their visits. Consequently, a caregiver can manage more seniors throughout the day without compromising the quality of his/her visits.

As all elderly assistants installed in an LTC home gather numerous amounts of data, these homes can leverage insights to improve operational efficiency. Hereby, ElderWatch can benefit the management side of an LTC home.

ElderWatch’s vision is clear: Compensate for the growing gap between demand and supply in elder care with an emphasis on the social well-being of seniors. Therefore, we hope to see a better future for every family with this innovative AI-driven solution.

References:

World Social Report 2023: Leaving no one behind in an aging world. (2023, January 1). DESA Publications. https://desapublications.un.org/publications/world-social-report-2023-leaving-no-one-behind-ageing-world

2024 Ageing Report. Economic and Budgetary Projections for the EU Member States (2022-2070). (2024, April 18). Economy and Finance. https://economy-finance.ec.europa.eu/publications/2024-ageing-report-economic-and-budgetary-projections-eu-member-states-2022-2070_en

In today’s fast-paced world, financial literacy is more crucial than ever. Even so, many people worldwide struggle to manage their finances effectively. That is the reason for the creation of Finance Buddy, a platform powered by Generative AI (GenAI). The goal is to change this scenario by providing personalized financial insights and tools that make complex financial data easy to understand, therefore changing the financial reality of the users. With the growing demand for personalized solutions, Finance Buddy addresses this need with a differential that is the merge of financial management, education, and gamification.

Personalized Financial Insights with GenAI

Finance Buddy’s main feature is its ability to use GenAI to analyze users’ financial data – such as income, expenses, debt, and savings – and transform it so that the user can relate better and be more responsible for its financial management. The platform will create dynamic stories to help users understand their financial health and make informed decisions, which differs from traditional tools that simply display numbers. Because of that, no matter if the goal is to track expenses, predict savings growth or offering customized advice, Finance Buddy will be able to output a comprehensive view of their finances.

Financial Literacy at Its Core

Another primary goal is to financially educate users. To do that, the platform will offer personalized educational content based on each user’s financial profile and knowledge level. This will guarantee that users will learn at their own pace. Besides that, to generate more value, it will feature interactive modules and quizzes to increase engagement, while the AI adapts lessons to match users’ evolving needs. This positions the platform as a transformative tool in the fintech space, since not just financial management is being offered, but also education.

Gamification for User Engagement

To increase user experience, there will be the use of gamification. Users can set financial goals, track their progress, and earn rewards as they reach milestones. This motivates users to stay engaged with the platform and take active steps toward improving their financial health by crating a sense of achievement when breaking down financial goals into smaller achievable ones and offering a visual perception of progress.

A Scalable, Freemium Model

Finance Buddy will be a freemium model. It will offer basic features for free, like setting goals and seeing expenses, while premium features – such as advanced financial insights and custom financial projections – will only be available through subscription. This strategy aims to let the platform more accessible for more kinds of users, from young professionals to more financially savvy individuals. Finally, a scalable white-label solution will be offered for financial institutions. It can be customized to fit their needs, driving additional revenue streams and inflow of more end-users to the platform.

In conclusion, Finance Buddy will use of GenAI in an innovative way to provide personalized financial insights, summed with its focus on financial education and engagement, which sets it apart in the fintech space. With its scalable freemium model, it’s poised to revolutionize the way individuals manage and understand their finances.

Imagine a world where planning your next vacation is simple and straightforward, where an advanced system takes care of all the details for you, including finding hotels, flights, and activities, all based on what you like. Our team is excited to propose a new feature for Booking.com, a GenAI-powered travel planner that could completely change how people organize their trips and give Booking.com a real advantage in the online travel agency industry.

Presently, many travelers planning their next trip spend a lot of time looking through countless options, trying to pick the right one for them. This process can be overwhelming for some, and there can be times when great opportunities are missed out on. What we’re suggesting is a travel planner powered by GenAI that creates personalized itineraries and recommendations for users. It would consider their preferences, past bookings, and real-time data like local events or weather updates when providing suggestions, all in the effort to make trip planning easier and more enjoyable for users of the platform. Instead of wasting time on things they don’t care about, users would get suggestions that match exactly what they’re looking for.

Integrating this AI planner into Booking.com’s website and app would be seamless. Travelers access the travel planner via a blue icon found on the home screen of the Booking.com website or app, which pops up a chatbot interface that enables users to converse with the AI chatbot and inform them about their general requirements, such as where they’re going or what they’re interested in doing.

The AI behind the chatbot would then pull together relevant data from internal and external sources and immediately suggest the best options. From there the user can continue the interaction with the chatbot, similar to a travel agent, and develop a complete itinerary as per their needs. At any point if the user wants to make changes, they can just inform the AI chatbot for necessary modifications, and it will update the plan right away. The best part is that the planner can also adjust plans during the trip. If a flight gets delayed or the weather changes, the AI will notify the traveler and offer new suggestions, making sure everything goes smoothly. In the competitive online travel agency market, this ability to adapt in real-time would set Booking.com apart from competitors like Expedia, who are also exploring AI functionalities.

Travelers today want more than just a booking site, they want a tool that understands their needs and gives accurate and relevant recommendations. By integrating GenAI into what they offer, Booking.com would not be just another booking platform, but a complete travel planning assistant available at any time. For Booking.com, the benefits are huge. User engagement on the platform would grow, with more planners interacting with the AI and exploring recommendations. This could in turn lead to more bookings and unlock additional revenue streams from partnered services like car rentals or tours. The more users interact with the planner, the more appealing the platform becomes to service providers, who would want to list their services. As the AI improves its suggestions as a result of increasing options, customer satisfaction and loyalty will undoubtedly improve, which are both critical objectives for any business.

To put it simply, integrating this AI-powered travel planner would completely transform the way people plan their vacations. With AI transforming industries everywhere, now is the perfect time for Booking.com to take travel planning to the next level.

Team 22: Emma Montag, Liam Albachre, Olivier Leurink, Amit Abraham

Try chatting now: https://chatgpt.com/g/g-MaKbZNfNn-lexicounsel
See the app design prototype: https://app.uizard.io/p/57db6e79

In today’s world, access to affordable, high-quality legal advice can be a challenge. Hourly rates start at €150 up to €400 per hour. LexiCounsel wants to change this. Powered by generative AI, LexiCounsel provides 24/7 legal advice at a fraction of the cost of traditional lawyers, with the accuracy and reliability that users can expect from a legal professional.

At its core, LexiCounsel is about making legal advice accessible and affordable. By offering flexible subscription plans and a pay-per-use service, LexiCounsel ensures that anyone – whether a startup or an individual – can afford fast and reliable legal advice. With pricing as low as €5 per case, or €20 per month, it is almost guaranteed your legal fees will decrease.

But affordability doesn’t mean compromising on quality. By establishing partnerships with legislators, legal organisations and other government organs, LexiCounsel is guaranteed to be up to date. LexiCounsel’s chatbot will be trained on new laws long before they come into effect. New judgements, which may provide precedents for future cases, are uploaded to LexiCounsel within 24 hours. All this to ensure that LexiCounsel’s knowledge is up to date.

To test its quality, LexiCounsel will undergo regular testing by lawyers, attorneys, and legal experts. LexiCounsel is committed to a 98% accuracy rate in the legal advice it provides. This means that in the vast majority of cases, users can trust the information they receive to be as reliable as what they’d get from a human lawyer. By combining the expertise of legal professionals with the efficiency of AI, LexiCounsel ensures that its users are never left with outdated or incorrect information.

However, LexiCounsel isn’t just about answering questions—it’s about streamlining legal processes that often take hours of a lawyer’s time. Whether you need help drafting a contract, reviewing terms, or navigating compliance issues, LexiCounsel can handle it in minutes. This saves businesses both time and money, allowing them to focus on their core activities instead of getting bogged down in legal complexities.

And when cases get more complicated, LexiCounsel doesn’t leave you stranded. If an issue arises that requires in-depth human expertise, LexiCounsel’s network of partnered lawyers is just a click away. The platform seamlessly connects users to licensed attorneys, offering a smooth transition from automated advice to human assistance when needed.

By focusing on affordability, quality, and accessibility, LexiCounsel is positioned to disrupt the legal services industry. For individuals and small businesses who might find traditional legal services inaccessible, LexiCounsel provides a cost-effective, always-available alternative that doesn’t sacrifice reliability. In short, it’s not just a cheaper way to get legal advice—it’s a smarter, more modern solution to legal challenges.

The future of legal services is changing, and with LexiCounsel, affordable, reliable legal help is finally within reach for everyone.

Try chatting now: https://chatgpt.com/g/g-MaKbZNfNn-lexicounsel
See the app design prototype: https://app.uizard.io/p/57db6e79

Filmmaking has always been a time-consuming, expensive business. Until now. Find out how our start-up is rewriting the rules of the film industry with generative AI (GenAI). This start-up focuses on automating different facets of a film’s production process. The goal is to streamline film production, reduce costs and allow new creative opportunities into the production process. These goals will be realised through five core activities: idea generation, scriptwriting, character design, video creation and voice generation. These core activities and the market approach will be further explained in this blog.

Having laid the foundation for how GenAI can transform the film industry, we now dive deeper into the ways our start-up is using this technology to innovate every aspect of the production process. The first application, ‘idea generation,’ speeds up idea generation using GenAI. This includes ‘scriptwriting,’ where models develop a script based on the generated idea. Then, based on the script, a text-to-image model develops characters, which designers further refine. In video creation, GenAI generates complex visual scenes, which speeds up production. Voice generation creates realistic voices based on text, which simplifies the voice-over process and saves time. Thus, many manual steps are automated and overall production time is reduced.

Our start-up targets a wide range of customers, ranging from large film studios to independent filmmakers. To best serve these different groups, we have developed a multi-channel strategy. Licences will be sold to large studios, letting them use the product freely. To smaller independent filmmakers, Saas subscriptions will be sold. This will ensure that we can attract the top and bottom end of the market, allowing this technology to gain wider adoption within the film industry.

To analyse our differentiation in the film industry, we used the VRIO model. This analysis shows that our start-up has a unique competitive advantage thanks to the early integration of GenAI. Indeed, Generative AI has not yet been widely adopted in film production. Therefore, our advantage lies in the first mover position we aim to achieve, also partly due to offering two types of our product. In addition, the VRIO model also reflects that there are indeed challenges. Namely, there are high costs associated with developing generative AI. Also, the film industry is a market dominated by established players with high budgets which can make it difficult to get a foothold.

In conclusion, this start-up could as of now transform the film industry using GenAI by deploying a more efficient production process. Various aspects of the production process can be developed with lower costs through automation and creative capabilities are expanded. The focus on major film studios and independent filmmakers ensures broad market access. Although there are challenges, our first mover strategy gives us a competitive advantage to transform this industry.

For our GenAI proposal, our group (group 3) explored how Orpheo Group, a global leader in visitor solutions for cultural institutions, could revolutionize its business model by integrating GenAI and transitioning from a traditional supplier to a dynamic platform provider. We proposed GenAI as the key solution to automate and personalize Orpheo’s content creation process, while also transforming the visitor experience.

The core of our proposal is an AI-powered chatbot designed to deliver hyper-personalized experiences. This chatbot would generate visitor-specific tour scripts, offering multilingual voice synthesis tailored to individual preferences such as topics of interest, available time, and accessibility needs. By incorporating GenAI, Orpheo could significantly cut costs while maintaining the high-quality content that distinguishes the brand, all while offering a more engaging and adaptable experience for museumgoers.

Beyond the immediate benefits of personalization, the integration of GenAI opens up new opportunities for Orpheo to become a data-driven platform provider. By collecting and analysing visitor data, Orpheo can offer museums and cultural institutions valuable insights into visitor behaviour, improving exhibit management and marketing efforts. This not only enhances visitor engagement but also strengthens Orpheo’s relationship with its partners, positioning it as a central player in a broader ecosystem.

While the promise of GenAI is significant, our findings also highlight challenges that Orpheo will need to address. These include the complexity of AI implementation, data privacy concerns, and potential shifts in employee roles as technology changes workflows. We proposed strategies like forming partnerships with AI specialists and running pilot programs to ensure a smooth and manageable transition.

Our research delved into adaptive audio guides and recommendation systems, further supporting the idea that personalized experiences will become a major differentiator for Orpheo. The platform model we propose could allow the company to scale its offerings and remain competitive against new entrants, securing a stronger market position.

To bring this concept to life, we developed an early-stage prototype named LISA, designed to showcase a GenAI solution for the Louvre. This prototype is a tangible demonstration of how Orpheo could implement this technology and reshape the visitor experience in one of the world’s most renowned museums.

If successfully implemented, Orpheo’s transition from a content supplier to a platform provider would mark a significant shift in the industry, reinforcing its leadership in digital visitor solutions and enabling the company to scale its services globally.

This project taught us how disruptive technologies, like GenAI, can transform a company’s business model and provide a competitive edge in the digital economy. By integrating AI into Orpheo’s operations, we explored how firms can improve efficiency, offer personalized customer experiences, and reposition themselves as platform providers. The experience reinforced key course concepts, such as the importance of adapting to technological advancements, rethinking business models, and navigating the challenges of data-driven solutions. It provided a practical understanding of how digital disruption can create value and reshape industries, preparing us for future roles in a technology-driven business world.

Authors (Group 3): Riccardo Di Bernardo, Alessio Merello, Tim Niedermann, Roan Otten

Over the past years, the world has observed an increasing demand for accessible healthcare, especially putting pressure on and destabilizing general practitioners (GPs) (van der Horst & de Wit, 2019). To manage current and further challenges in healthcare, we believe the system needs to be transformed by the use of artificial intelligence (AI). By the use of an integrated platform called AI-GP, and blending AI with direct doctor interaction, patient care will be revolutionized and the burden on healthcare providers will be relieved.

AI-GP aims to empower patients through various AI functionalities. First of all, patients who are subscribed to the platform will be able to enter their symptoms into a chatbot or upload images of their symptoms. The system, based on trusted medical sources will generate a possible diagnosis and suggest home remedies for easily salvageable issues. Possible more severe cases will be flagged and patients will be guided to make an appointment with one of the physical doctors connected to the platform. Then, a comprehensive patiënt file will be created with AI-generated questionnaires sent to the patient before their physical appointment so that the doctor can prepare themselves and conduct an effective consultation. Lastly, AI will be able to monitor local health trends, such as flu outbreaks in the area, by recognizing patterns in the reported symptoms. This will help in providing timely alerts for patients and doctors in affected areas to potentially generate preventive solutions. 

Over time, by leveraging its extensive database and previous cases, AI-GP will improve itself and its diagnostic capabilities and thus become more valuable. The key functionalities of AI-GP will ultimately make healthcare more accessible for patients, reduce waiting times and improve the early disease detection rate. For healthcare professionals, it will relieve the administrative burden and provide them with more time to spend on critical cases. 

AI-GP will first be rolled out in the US, where healthcare access is often too expensive for many citizens (Birn & Hellander, 2016). In the following years, AI-GP will focus on expanding its user base and target area, improving its AI capabilities and becoming a profitable company. Several KPIs are set to track progress. A key strategy includes a referral program to boost subscriptions, rewarding users with discounts or other incentives. The platform will also explore new features like real-time consultations with doctors and partnerships with pharmaceutical companies to in the long run become a one-stop solution. Operating in the healthcare sector is undoubtedly not without risks, but solid mitigation strategies are set to ensure a smooth launch of AI-GP.

By offering an integrated, comprehensive platform with AI functionalities, AI-GP stands out in the competitive landscape and bypasses other competitors that solely offer a chatbot or offer digital healthcare services but lack AI-driven diagnosis. It is set to reshape healthcare by making it faster, more accurate and more accessible. As AI-GP expands, it will redefine the future of healthcare in a market eager for change, setting a new standard for patient care.

(Team 31)

Birn, A., Hellander, I. (2016) Market-driven health care mess: the United States.

van der Horst, H. E., de Wit, N. D. (2019). Redefining the core values and tasks of GPs in the Netherlands The British journal of general practice Practitioners.