AI for Connectivity Hackathon II: Building Resilient Networks 

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BezimeniIT

Bezimeni

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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.

AI-Powered Calculation Model for School Connectivity Prioritization.
 Tool for Visualizing the Next Top 5 Schools Optimal for Connection
 With Included Cost Predictions and Best Technologies

"BezimeniIT team on AI for Connectivity Hackathon II: Building Resilient Networks Hackathon"

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