AI for Connectivity Hackathon II: Building Resilient Networks 

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Is an Algerian team for resolve any problems with Ai programs and ML

Smart Crew

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GeoNode AI addresses the challenge of improving public sector network scalability and efficiency in rural and remote areas. By leveraging KMeans clustering, it proposes optimal telecom node locations based on population coordinates and elevation data. The platform integrates real-time Sentinel-2 satellite imagery from the Copernicus API to provide terrain context, enhancing planning accuracy. Its interactive web interface, built with Flask and Folium, features a map with draggable nodes, a live coverage calculator, and export options (CSV, GeoJSON). Designed for accessibility, it includes a user-friendly sidebar for settings and statistics, making it a valuable tool for planners and engineers. Licensed under MIT, GeoNode AI is extensible, with potential for custom data integration and advanced terrain analysis.

GeoNode AI is an open-source Flask web application that optimizes telecom node placement in underserved regions using AI-driven KMeans clustering, Sentinel-2 satellite imagery, and an interactive map with drag-and-drop functionality.

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

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