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Limit the use of touchscreens and keypads for self-checking and vending machines in public spaces to mitigate risks to be infected. Move the self-checking experience to your mobile screen.
The coronavirus pandemic has had a devastating impact on independent restaurants. Our Takeout and Delivery Directory makes it easy to find and support businesses in your local community.
Building the world's online platform and school.
Using gamification on smartphones to help people develop better hygiene and social habits to avoid infection
It basically an app for where everyone locked up at home could come and talk about how their handling the situation and encourage each other
PANDOA provides information in case of contact with infected persons and helps others in case of its own infection. PANDOA uses data anonymously and is open-source for connection to other projects.
NutrilifeIO is one stop solution for global decentralized nutrition platform in Blockchain and AI Based Technology
An interactive map/plots to view the spread of COVID19 in New Zealand
with your help there will be food for everyone
I have created a video game where a microscopic ship goes inside a vein killing coronavirus
Darcie is a lifeline, connecting people to help and resources.
A digital assistant with a real time dashboard for health agencies to deal with unexpected incoming queries and handle with a easy to train virtual agent.
COVID19 Dashboard
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patient engagement tool to make remote monitoring easier for doctors
Go around. Get your world into game
Creating plasma disinfection and sterilization solutions that are needed in hospitals, businesses and general public.
App for medical, social, and discover the info, data, area, and more
Users share their location via the postcode of their home address and continuously “Self Monitoring’ their symptoms. This information can then be shared health authorities to predict demand
Covid One - Covid-19 Analyse Data & Make Prediction
adapt a predictive maintenance model to the probability of covid19 infection based on time-series and patients' data to assess the likelihood of infection
Look ahead before jump
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