Paul Ndirangu@Mindscope

To develop an AI-powered solution that optimizes public sector network planning, procurement, and maintenance for scalable and sustainable school connectivity in underserved regions.

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.

🔍Create AI-driven, open-source solutions to optimize public sector network management in critical areas like predictive maintenance, total cost optimization (TOC), and energy efficiency—enhancing public sector networks' scalability, efficiency, and sustainability in underserved regions. 📅 Join us February 28–March 2, 2025: Participate online or in person in vibrant Barcelona, on the sidelines of MWC 2025, to collaborate with peers worldwide and shape the future of public sector connectivity. 👨‍🏫 Work alongside experienced industry mentors who will provide guidance and insights to elevate your solutions. 💰 $5,000 prize pool for the winners! 🏆 Compete for a chance to join the lablab NEXT incubator program! 🧑🏻‍💻 Don’t wait! Sign up now to secure your spot before the Kick-Off!