What drives us is a feeling of deep-rooted passion and motivation to deliver solutions that can save people's lives. We serve for people as military IT specialists that is why we have decided that we can apply our experiences and knowledge to solve some crucial problems – tracking and analysis of pandemia using wide spread mobile devices.

As cybersecurity and decision support specialists we have captured an idea how to help us avoid pandemia risks, connected with the movement of citizens. Secure and seamless monitoring of our location, with medical diagnostics can help the authorities to identify clusters of infections.

Recently, we realised that we don't know where infected people might be to keep away from those areas. Many people have doubts have they been infected, and are there any risks in their neighbourhood. That inspired us to create the H.E.L.P. application.

What it does

Our solution is based on a combination of mobile and web application. Whenever you wonder you might have been infected, you simply fill a survey about your condition, send it and within seconds you will receive a diagnose.  The Mobile application seamlessly tracks You position and anonymises Your data while sharing this with the central server. Based on diagnostics surveys and symptoms reporting we are able to assess the risk of COVID in that specific local population. If a health threat is detected our algorithms can correlate the spatial data and notify all the people possibly exposed to an ill person. During the isolation and quarantine we also provide guardian angel like services which will automatically ask You about medical data, check Your health and needs. Sharing is caring – that is why if You anonymously share the knowledge about Your health state – we can help You and Your close ones. As a cybersecurity specialists we have secured the application and personal data – and only aggregate certain parts of it on our cloud services.

If a risks of infection is detected, the system using spatial reasoning will identify possible people at risk and notify them about such a threat. Accordingly, people who might have contact with infected person will receive, a notification with generated map with risk areas and population density heat map. This way without the user

Web application provides a Health Care Centre with the ability to display a Common Infection Picture on a map and supports the decision making process to stop spreading SARS-CoV-2.

H.E.L.P. system’s major advantage is the analytical capability to fuse, correlate and analyse the location and health data. Our implementation efforts give threat heat maps – demonstrating the locations with high density of visitors, or location and routs which have been exposed to a certain level of infection risks. The users benefit from this data accessing such spatial data on a regular map – thus avoiding such places or visiting hours. HELP is a data miner so we openly share this knowledge.

HELP technology detects cough sounds through the phone’s microphone during the examination process. AI algorithms analyze the sound using machine-learning, a kind of artificial intelligence that can “learn” to recognize patterns, in this case in the sound of an individual person’s cough.

H.E.L.P. system takes care in particular for elderly people by utilizing Voice Guidance system across all functions available.

How we built it

We have been working on analytical tools for decision and command support which strongly relies on algorithmic analysis of location tracking. The team also developed set of mobile biomedical tools for medical diagnostics that is why we are familiar with medical diagnostic procedure based on biopotential, image and sound recognition. The team has been composed of the computer scientists, AI researchers, mobile and web developers and IT officer cadets. This brings a wide variety of expertise and motivation to deliver innovative and unique product solving a crucial problem – tracking pandemic clusters – locations, facilities, people.

Challenges we ran into

The main challenge for us was to develop a working solution in a very short time. Our goal was not only to implement functionalities itself but also to make a mobile and web application users-friendly and encouraging to use daily.  Another difficulty was to implement a proper cough sound recording mechanism in a way that a doctor or AI algorithms can examine.

Accomplishments that we're proud of

We managed to implement cross-platform working solution that provides a group of functionalities that truly address and improve limiting of spreading SARS-CoV-2. An open architecture is ready for extensions with new capabilities related to the pandemia.

What we learned

Whilst working under the time pressure we improved the team cohesion by using new Open Source Collaboration Software Tools. Moreover, development of H.E.L.P. let us understood the process that applies from conditions gathering to a diagnose for a single person.

What's next for COVID-19

Our goal is to add new functionalities to the H.E.L.P. system, in particular in the areas of:

  • utilizing Artificial Intelligence for health conditions analysis,
  • bringing situation awareness to the user regarding a help he can get from the Government and the Health Care System,
  • enhance the web application with the virus-related data coming from OSINT.


NCBC and WAT created an application to fight COVID-19

IT experts from the National Cyber Security Centre and the Military University of Technology created an application called Health Environment for Living in Pandemia (H.E.L.P.), which aims to search for people with coronavirus nearby and stop the virus from spreading by warning mobile users about the danger.

The application was implemented as part of # BuildforCOVID19 Global online Hackathon - an international project organized on the DEVPOST platform and supported by the World Health Organization and scientists from Chan Zuckenberg Biohub. In total, several hundred teams from around the world joined the competition.

H.E.L.P. application is addressed to users of mobile phones working on the Android system. Its task is to increase the safety of people who move in public space. The application is easy to use and intuitive. You just need to join the group of other users sharing your geolocation data to receive a colored map with information about places to avoid. The map is updated on a regular basis. The data is completed in real time. The green color of the place we want to go to means it is safe and red is a warning of a potential threat.

Try It out



.net-core, firebase, gis, java, openlayers, openstreetmap, phython

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