| Team Name |
Innova Tracers |
| Track |
Data for good |
| Use Case |
Covid Risk Prediction and Monitoring System |
| Technology |
IoT, Machine Learning, AI. |
| Region |
EMEA |
| Team lead |
Jesus Cariño, Jose Ignacio Bernaldo (Expert Advisor) |
| Team members |
@jesus_carino ,Carlos Pandero (Data Analyst) |
Goal:
To assure security conditions in public premises, we propose to create a system that centralizes the information gathered from multiple data sources to monitor in real time and forecast the level of risk of Covid-19 infection.
The benefits obtained are very important. Assuring proper conditions inside premises and giving monitoring tools to the management personnel of the premises can reduce the risk of contagion, and hence contribute to a sustainable economic reactivation.
Introduction:
This system will be constructed in three steps. First, the system will collect information from multiple devices to create environment variables and determine the risk of infection, based on rules.
The second step is to estimate the probability of infection of each person using the historical data gathered by the devices of the premises visited by the user along a determined period.
Finally, aggregate the information of the first two steps to create a more accurate real-time indicator of risk.
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