Together with Fondazione Eni, Enrico Mattei (FEEM) we have developed multiple scenarios to enable universal accessibility to public healthcare in sub-Saharan Africa.
Here our results displayed in a simple web app that we have developed.
You can read our paper here.
To view in full screen click here.
The purpose of this project is to define and develop an effective and capable monitoring system that can count trucks, estimate their load and measure the daily quantity of waste that goes to landfill and summarize the materials that get recycled.
How soil is impacted by different practices? How dose it change over time? These are few of the questions that we are trying to answer in an experimental project by collecting detail data on many soil properties with the use of state of the art sensors and data analysis.
Decatab, together with Simile, built an AI Platform to improve the accuracy of early warning system alerts to Timor-Leste communities. As a result, target communities will be able to better prepare for and respond to the impacts of climate-induced natural disasters
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