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
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Hafiz Muhammad Usama
Data structure and algorithm
Ameer Hamza Khetran
Allen Sutton
Team member not visible
This profile isn't complete, so fewer people can see it.
"Good presentation to nudge connectivity interventions - however, it doesn't address the main hackathon problem statement. Good explanation of the technical approach but cannot trace it back to the code nor demo. "
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Maria Antonia Bravo
"Idea needs more uniqueness and creative features for application. Decent presentation but needs overall work. Keep it up!"
Shebagi Mitra
Technical Mentor
"great idea, continue working on it"
Walaa Nasr Elghitany
Lablab Head Judge
"The idea well structured, though not new. I don't see a demo as a part of the submission, would be good to see the first steps taken towards implementation"
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Anastasia Nedayvoda
For Innovators & Creators