MERIThON Challenges

The challenges are linked to one of four main areas:

Artificial intelligence

Cybersecurity

Internet of Things

Other advanced digital skills

One challenge could be solved by up to 2 teams. Therefore consider selection of several possible alternatives.


Available challenges

  • #20: Optimizing wireless internet expansion in the USA through big data analysis
    #20: Optimizing wireless internet expansion in the USA through big data analysis

    Analyse public data to indicate potential locations for wireless internet expansion in the USA and make strategic decisions where new Mobile Broadband Services could be launched to match the demand.

  • #19: The Convergence of Artificial Intelligence and Computer Vision in Optimizing Production Efficiency
    #19: The Convergence of Artificial Intelligence and Computer Vision in Optimizing Production Efficiency

    The challenge involves developing a comprehensive system that utilizes AI algorithms and computer vision to calculate OEE in real time.

  • #18: Harnessing Blockchain for design projects
    #18: Harnessing Blockchain for design projects

    Your mission is to incorporate Blockchain and NFT technologies into the workflow of graphic design projects to safeguard their authenticity, integrity, and ownership. From the moment an idea is conceived to its realization in the form of a tangible product, your solution should ensure that every step of the process is transparent, immutable, and tamper-proof.

  • #17: Revolutionizing communication in remote environments
    #17: Revolutionizing communication in remote environments

    Develop an innovative solution that enables precise and efficient localization of individuals in a complex industrial environment, such as a large factory with few employees, where instant communication is essential for safety and operational efficiency.

  • #16: “IoT Lab Hub” – a hybrid learning laboratory for IoT
    #16: “IoT Lab Hub” – a hybrid learning laboratory for IoT

    Conceptualize the “IoT Lab Hub,” an innovative educational laboratory that combines both physical and virtual hands-on experiences, aimed at MERIT master’s students interested in exploring the vast world of IoT.

  • #15: Self-optimizing production test system using AI and IoT technologies
    #15: Self-optimizing production test system using AI and IoT technologies

    The challenge aims to develop a self-optimizing production test system using AI and IoT technologies. It should analyse data from smart sensors to predict and prevent failures, optimize production in real-time, automate product quality assurance, and enhance energy efficiency and sustainability.

  • #14: Blood analysis result archiving and insight system
    #14: Blood analysis result archiving and insight system

    This challenge invites to generate an idea for system, capable to store, analyse and provide insights for the blood analysis results. Consider the blood analysis report archiving in cloud, data extraction from it, analysis and utilization to generate insights with the help of GenAI.

  • #13: Fake news identification in social networks
    #13: Fake news identification in social networks

    This challenge aims to generate new ideas how social networks could be monitored automatically by automated robots. The gathered data should be analysed, taking into account the post, its authors profile and connections, its relation to other more trusted sources.

  • #12: Distributed digital evidence management system
    #12: Distributed digital evidence management system

    This challenge is looking for a detailed idea, how to utilize existing technologies for automated digital forensics related data collection, anonymized sharing or federated learning to automate the initial data analysis. This solution could simplify digital evidence collection and get insights, based on other similar cases.

  • #11: Revitalizing urban spaces: AI-driven smart city solutions
    #11: Revitalizing urban spaces: AI-driven smart city solutions

    This challenge encourages to ideate and propose AI-driven solutions tailored to enhance urban infrastructure and services, making cities more livable, sustainable, and smart. Identify key urban challenges and conceptualize AI applications that can transform urban spaces.

  • #10: Personalized and adaptive ICT courses
    #10: Personalized and adaptive ICT courses

    The challenge is to develop innovative idea that could address the digital skills gap among different target groups. The solution should take into account to which target group the person belongs, what are his or her current skills in ICT. The initial data gathering about the person should not be complicated and requiring execution of multiple tests.

  • #09: Health accident alert system for elderly care institutions
    #09: Health accident alert system for elderly care institutions

    This challenge invites to generate ideas on how sound and video analysis can be used to determine some home accidents, such as human fall, stumble, etc. This could be a solution for elderly care institutions, where patient do not agree to wear additional digital devices, but some surveillance infrastructure can be supported.

  • #08: Automated detection and prevention of discriminating job advertisements
    #08: Automated detection and prevention of discriminating job advertisements

    This challenge looks for technical idea, how to automate the job advertisement monitoring and identification of potential discrimination cases. As well we encourage to step forward and add some ideas on how to use the collected data to change the situation and go towards more equality-oriented society.

  • #07: Managing sanction risks – automating the due diligence process with AI for verifying counterparties and commodity codes
    #07: Managing sanction risks – automating the due diligence process with AI for verifying counterparties and commodity codes

    We are looking for innovative IT solutions to unify and automate the process of verifying counterparties and commodity codes using Artificial Intelligence (AI).

  • #06: Student attendance and early detection of at-risk students using AI
    #06: Student attendance and early detection of at-risk students using AI

    This challenge calls for developing an AI-driven solution that automates attendance tracking and utilizes predictive analytics to flag at-risk students based on attendance patterns, engagement levels, and other relevant indicators.

  • #05: SME digitalization and AI opportunity platform
    #05: SME digitalization and AI opportunity platform

    Each organization is different and its digitalization and AI integration strategies should be selected individually. Human-expert recommendations are expensive. The challenge is looking for a detailed architecture of SME digitalization and AI opportunity platform, ready to evaluate the current maturity level and provide recommendations for further steps.

  • #04: Virtual assistant for bonsaisodas.lt e-shop
    #04: Virtual assistant for bonsaisodas.lt e-shop

    Virtual assistances might change the s-shop client experience. However, to provide realistic experience, the clients used language and selling product data have to be properly fed in. How virtual assistance could be developed and integrated into bonsaisodas.lt to provide the new level user experience?

  • #03: Open data based company management
    #03: Open data based company management

    Business management is based on a lot of strategic decisions. Global initiative to open data exists, therefore in this challenge it is important to answer how the existing open data sources could be utilized in company management process (search for new partners, decision to expand in certain regions, etc.).

  • #02: Student career recommendation
    #02: Student career recommendation

    Each students has different skills and personal properties. The combination of it as well as experience define what career would fit best the students. The issues relies in difficulty to identify both students accurate portfolio, as well as matching it to different career paths.

  • #01: Employee workload calculation
    #01: Employee workload calculation

    Employees are played based on how much work they did, or how much time they spent on the task. In case of flexible work schedule, it is important to trace the employees work hours. Manual logging is not effective. How modern technologies could be used for this task?