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AI-Driven Network Optimization for School Connectivity

savannamind | AI-Driven Network Optimization for School Connectivity

Overview

The project aims to develop an AI-powered solution that optimizes public sector planning, procurement, and maintenance for sustainable school connectivity in underserved regions.

By leveraging open-source technologies like LLMs and geospatial data, the system will generate actionable insights and simplify complex tasks for non-technical stakeholders with an intuitive, interactive UI.

Key Challenges:

Data Reliability: Inconsistent and outdated planning data hinder effective decision-making and long-term strategy development.
Capacity Gaps: Limited technical expertise among key stakeholders reduces the ability to interpret data and manage complex systems.
Process Complexity: Procurement and maintenance processes are often cumbersome, leading to delays and inefficiencies.
Resource Misallocation: Poor visibility and data gaps contribute to inefficient deployment of resources in underserved regions.
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