Our data-driven AI model is using different data sets to rank top 5 schools to be connected in the area, with details and alternatives on the suggested technology and costs. Multiple factors are used for calculating the rank, such as: location, available network infrastructure, population density, terrain, weather conditions impact and cost of implementation and future operational costs By integrating these diverse data sources, the system can build a rich picture of what precedes and accompanies connectivity problems. Using these factors, our model can even produce visual maps highlighting the recommended connectivity solution for each school.
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