AI for Underserved Area Identification
In today’s interconnected world, internet access is crucial for education, healthcare, and economic development. Unfortunately, many regions still suffer from inadequate connectivity, restricting their access to these essential services. This project aims to tackle this issue by identifying and ranking underserved regions based on internet connectivity and socio-economic factors using AI-powered solutions.The primary goal of this project is to develop a robust AI model capable of identifying underserved areas and ranking them based on factors such as: Internet connectivity Population density Socio-economic status By pinpointing these underserved regions, we aim to assist policymakers in prioritizing network expansion and resource allocation in a way that maximizes impact.
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sumbal fatima
Allen Sutton
Ameer Hamza Khetran
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Hafiz Muhammad Usama
Data structure and algorithm
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