YourAirTest is a science startup that uses artificial intelligence (AI) to predict harmful emissions from factories and fires, such as PM2.5, PM10, O3, NO2, SO2, and CO. The system models these emissions and provides tools for air quality monitoring and decision-making.
Learn more about our other projects:
AI YAT-Meteo Weather forecasting 
WildFiresUA Modeling emissions from fires 
MonAir IN/OUT Air quality monitoring station Clean Air, like Google Search, may seem cost-free, but it still has hidden cost
With support:
Air quality monitoring
ecosystem
Air pollution is a pressing issue that profoundly impacts both human health and the environment. In 2020 alone, air pollution contributed to the premature deaths of approximately 7 million people worldwide.
In response to this critical challenge, a dedicated team of scientists, ecologists, developers, and students came together to create the YourAirTest air quality monitoring ecosystem.
WildFiresUA is a system that uses (AI) to detect forest fires, analyze their development, and model the emissions emitted
Prediction of fire evolution and dispersion of hazardous by-products such as PM2.5 and PM10 particulate matter, as well as gases such as O3 (ozone), NO2 (nitrogen dioxide), SO2 (sulfur dioxide), and CO (carbon monoxide).
Predictive
Modeling
For NPP Accident Scenarios
In a world where preparedness is paramount, YourAiTest has taken on the task of predicting and assessing the impact of potential accidents at 5 nuclear power plants in Ukraine.
Soon...
Map of NPPAI YAT-Meteo
Meteorological research and weather forecasting
In the realm of weather forecasting and atmospheric research, precision and innovation are paramount. This case study delves into the development and implementation of AI YAT-Meteo, a groundbreaking weather research and forecasting product.
MonAir IN / OUT
Outdoor and indoor air quality monitoring station
Air pollution is a pressing global issue with far-reaching consequences for both human health and the environment.
Shockingly, according to the World Health Organization (WHO), air pollution contributed to approximately 7.8 million deaths worldwide in 2021, accounting for roughly 9% of all fatalities.
Soon...
Automatic Gaussian Plume Model (AGPM)
Environmental science students often face the challenge of using air pollution modeling before they have any programming skills. That's where YourAirTest, our science-driven startup, steps in with a solution tailored for universities - the YAT Gaussian Plume Model.
Mobile YourAirTest App
Monitor air quality 24/7
Increasingly, people are seeking ways to protect themselves and their loved ones from the harmful effects of airborne pollutants. This is where YourAirTest steps in, harnessing the power of machine learning to provide precise data on six key pollutants: PM2.5 and PM10 particulate matter, ozone (O3), nitrogen dioxide (NO2), sulfur dioxide (SO2), and carbon monoxide (CO).
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Well contact you within 24 hours withmore information on our next steps.
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Our next step will be to collect all therequirements for your project, clarifyyour business objectives, and expectations towards our cooperation.
