To develop an AI-powered solution that optimizes public sector network planning, procurement, and maintenance for scalable and sustainable school connectivity in underserved regions. The system will leverage open-source technologies, including Large Language Models (LLMs) and geospatial data analysis, to dynamically generate actionable insights and recommendations for improving school connectivity. The solution will simplify complex network planning tasks for non-technical stakeholders by providing an intuitive, interactive, and generative UI that visualizes connectivity gaps, predicts infrastructure needs, and simulates the impact of various interventions.
2 Mar 2025