Members: Tommi Niinimäki, Jiri Pyörälä
In the Finnish and Swedish forest industry, the prevailing practice is to base wood markets and industrial wood procurement solely on wood quantity. However, this approach overlooks an essential factor: wood quality. As a result, there is a significant problem of suboptimal material flows within the industry. Valuable wood resources are not being utilised to their full potential, leading to excess wood storage requirements at factory yards and a less sustainable wood production process.
Wood Quality Observation aims to revolutionise the prevailing practices in the Finnish and Swedish forest industries by utilising machine learning and AI based data processing and analysis methods to diffuse different data types and produce new information for more precise and flexible decision making.
Members: Luna Linblad, Chuong Wu
Even though the Finnish healthcare system is usually regarded as one of the best in the world, it still has some pretty major flaws. Queue times can be excruciatingly long, especially in matters relating to mental health problems or neurodivergencies and preventative healthcare is often disregarded, costing the government money and for the patients: time
Wagshiba wants to revolutionise the way we approach medical diagnoses and treatments. It's a web and mobile application that combines the power of AI with text and image analysis to predict, detect and diagnose diseases. But that's not all. It's a platform that seamlessly connects patients with medical experts making healthcare more accessible and efficient.
Members: Sarah Miselly, Finy Linjaya, Tara Adhialita
Mental health is the 21st century epidemic. Over 900 million people worldwide suffer from mental health disorders and neurodivergencies and Finland ranks among the highest in depression rates. Traditional therapy has been the primary way of trying to address issues in ones mental health. But it may not suit everyone, as different people have unique coping mechanisms.
Willow aims to revolutionise stress management and well-being by making technology a gateway to a serene place accessible anytime and anywhere. This is done by immersing users in natural environments and associated sounds through VR. Willow plans to establish VR booths in public spaces, offering a sanctuary for relaxation without time constraints. These booths will provide immersive VR experiences enhanced by IoT technology and AI to create a soothing ambiance. Their primary services would include these relaxation booths and a mobile application. Additionally, they plan to offer in-house therapy sessions through chat, audio, and video calls at affordable rates.
Members: Chloe Kiernicki, Sanni Häkkinen, Jakub Grad
Navigating the tumultuous waters of home ownership and especially maintaining its value can be extremely difficult, time consuming and exhausting. Additionally, 48% of the wealth of Finnish households is invested in homes, and for middle class homeowners the average is even higher, at 70%. This highlights the importance of taking good care of your home, especially in financially troubled times.
Pesämuna seeks to assist these homeowners identify which cost saving measures are right for them, their families, and their homes. The target user of Pesämuna is a homeowner above the age of 50. Users can register on the app to fill out basic information about their home and circumstances. This basic information includes their budget for investment, the era of construction of their home, their address, their primary heating system. Based on this basic assessment, the user will receive recommendations to fit their needs. The user can learn more about each recommendation to inform their decision. If the user would like more tailored recommendations, then they can fill out a more detailed assessment. Based on supplementary information, the user will receive more targeted recommendations for renovations on their home beyond cost intensive renovation or retrofitting recommendations.
Pesämuna also provides seasonal tips and lifestyle adjustments to reduce energy consumption. Examples include installing blackout curtains in the summer months and integrating weather data to plan for upcoming changes and conditions in advance. Pesämuna seeks to keep users engaged with the app by incorporating the seasonal and lifestyle tips on a continuous basis.
Members: Endrit Kola
In the construction industry, there is a pressing need for improved efficiency, sustainability, and cost-saving measures. Currently, there is a lack of comprehensive solutions to monitor equipment and employee performance effectively in real-time. The absence of a location tracking feature and smart functionalities hampers operations, leading to inefficiencies, errors, and suboptimal scheduling processes. Traditional methods fail to provide the necessary insights and analyses to prevent errors and optimise workflows, resulting in a significant operational challenge within the industry.
AI & IoT Work Pulse aims to revolutionise the industry by creating a cutting-edge platform that leverages the power of AI and IoT technologies to address the identified issues. By combining AI and IoT, the platform will enable real-time tracking and monitoring of equipment, employee performance, and processes within the construction field.
Members: Daria K., Mikhail S.
In today's technology-driven world, we have more access to health data than ever before, encompassing fitness tracking, clinical records, and lab results. However, the problem lies in the fragmentation of this data across various platforms, making it difficult for individuals to harness its full potential. The lack of a centralised, interpretable health data solution poses a significant challenge and people are often unable to use their health data effectively to enhance their well-being.
To address this challenge, Wellsee is committed developing a pioneering software platform that acts as a central hub for all health-related data. Our solution utilises AI and machine learning to provide predictive tools and user-friendly insights. With our platform, individuals can conveniently access and interpret all their health data in one place. They will receive actionable recommendations, connect with health coaches, and even have the option to participate in ongoing medical studies. This comprehensive approach will empower individuals to make informed decisions about their health, bridging the gap between data availability and actionable insights for improved well-being.
Members: Tatiana Pertseva, Liisa Davydov, Viacheslav Baryshnikov, Fabien Naulin
Bullying is a pervasive issue with severe detrimental effects on individuals, causing emotional distress and hindering social inclusion. Currently, the solutions available are fragmented, hard to come by and fundamentally fail to address the problem comprehensively. Victims often struggle to find the necessary information and support, especially individuals with multilingual and multicultural backgrounds in Finland. The current approach lacks the use of innovative and sustainable technologies, making it challenging to prevent and combat bullying effectively.
Auroborea wants to approach the issue of bullying in a comprehensive, multi-faceted and multi-dimensional way. This approach includes data collection, artificial intelligence support, green hosting, and carbon footprint calculation to provide timely and personalised assistance for bullying prevention. Auroborea seeks to break out of the traditional mould of other anti-bullying campaigns and companies by combining technology, empathy, and multicultural sensitivity. Auroborea is committed to make a lasting impact on bullying prevention and social inclusion in a sustainable and effective manner for individuals with multilingual and multicultural backgrounds in Finland.
Members: Mustafa Munawar
Research labs in universities vary widely in their work environment, ranging from highly productive and collaborative to toxic and unhealthy. PhD students, master students, postdocs, and interns often commit several years to these labs, making it crucial to ensure a safe and supportive research environment. However, there is a severe lack of platforms where individuals can rate and share their experiences about these labs. Many students struggle to find information about lab environments before committing to them, and this information can be vital in making informed decisions.
Less Toxic Academia poses a solution: a web-based platform specifically designed for rating and reviewing research labs at universities worldwide. This platform will enable students, researchers, and interns to provide valuable insights into the work culture, atmosphere, and dynamics of different research labs. It will include ratings, comments, and reviews from individuals who have had first-hand experience in these labs. The platform's goal is to empower students and researchers to make well-informed decisions when choosing a research lab by providing a comprehensive repository of experiences and feedback from the academic community. By filling this gap, our platform will contribute to creating a healthier and more transparent academic research environment, ensuring that students can make informed choices and avoid toxic lab environments.
Members: Dmitry Kalyaev
In the fields of computer science and mathematical biology, as well as artificial intelligence, the reliance on attention-based models, such as the Transformer architecture has been significant, to say the least. While these models have shown great promise, there is a need for alternative approaches that do not solely rely on attention mechanisms. The existing methods often lack a clear theoretical foundation and could stand to benefit from new perspectives.
Autumn 2023's proposed solution introduces a novel method that challenges the conventional reliance on attention in artificial intelligence and related fields. Instead of attention mechanisms, the method utilises correlation metrics and a theoretical framework to achieve its objectives. The core idea is to demonstrate that attention is not the only way to address complex problems in these domains. To provide a theoretical foundation and a clear understanding of this new architecture, the method leverages concepts such as lenses and employs an address programming language for precise representation. Not only does it offer theoretical insights but it also includes a detailed algorithm that has been implemented in the Trust programming language. This implementation is tested on the Visual Recognition task for recognising handwritten digits, using the MNIST dataset. The potential of a different approach could expand the horizons of research and application in these fields for years to come.
Members: Allan Castellanos, Luiza Preda
Effective therapy often requires therapists to understand and respond to their patients' emotional states accurately. However, the current standard therapeutic techniques may not always provide therapists with the necessary tools and insights to achieve this effectively. Therapists face challenges in gauging their patients' emotional responses, leading to less effective treatment outcomes.
Oasis seeks to revolutionise the therapeutic process and enhance the effectiveness of therapy by creating audio-visual solutions that leverage feedback and artificial intelligence. The core idea is to provide therapists with innovative tools that allow them to better understand and connect with their patients. The end product by Oasis would employ a combination of healing sounds, macro photography, and mindfulness techniques to help users fully relax and release stress. By offering a unique and immersive audio-visual experience, Oasis intends to provide therapists with a powerful tool for achieving more effective treatments for their patients.
Members: Elena Matyushenko
Online shopping has become increasingly popular by offering convenience and a wider selection of products than physical stores. However, one significant challenge in the online apparel industry is the inability for customers to try on clothes while shopping online. Customers often face uncertainty when purchasing clothing items because they cannot see how a specific piece will look on them or other specifics of clothes, like the vibrance of colour, condition and the feel of it. This leads to a high rate of returns and dissatisfaction with online purchases.
NexTry aims to address the problem of uncertainty in online clothing shopping by developing a virtual fitting room. By leveraging artificial intelligence and neural networks to develop a platform that allows users to virtually try on clothing items before making a purchase decision., NexTry is committed to developing a middle ground between traditional in-store shopping experiences and online purchases, enhancing convenience and confidence for customers.
Members: Özgür Çakmak
The food industry faces numerous challenges that can disrupt the food supply chain, leading to potential risks. These risks come in various forms, including production disruptions, natural disasters affecting crop yields, economic shifts, political unrest, and more. Without effective risk management, businesses in the food industry can encounter instability and uncertainty.
Now, imagine a world where the food supply chain is resilient, adaptive and sustainable. Introducing Agro FI, a solution designed to transform the way challenges and adversities are faced in the food industry. Agro FI's comprehensive risk management strategy covers a wide spectrum of potential disruptions, ensuring stability and resilience in the food supply chain. Agro Fi's not only concerned about mitigating risk; they are committed to fostering a sustainable future for the food industry. Agro FI is shooting high, for a future where the food supply chain is smarter, safer and more sustainable for all.