Oleksandr Votinov@Oleksandr_Votinov

Access to high-speed internet is essential for modern education, yet many schools, especially in remote areas, lack proper connectivity. Traditional approaches, such as building new 5G towers, are expensive and inefficient. Our project leverages Artificial Intelligence and mathematical modeling algorithms to classify schools based on their connectivity needs and generate the most cost-effective scalable expansion strategy. Using AI-powered clustering techniques, we analyze school locations, existing network coverage, and infrastructure constraints to categorize schools into four main types: 1 - Fully Connected Clusters: Single or groups of schools where all have internet connection. 2 - Partially Connected Clusters: Groups of schools where at least one already has internet access. 3 - Isolated Clusters: Multiple schools with no existing internet infrastructure. 4 - Remote Standalone Schools: Single schools lacking any connection. Our mathematical optimization model then determines the optimal network expansion plan, recommending the most efficient infrastructure improvements. By intelligently leveraging existing connectivity and optimizing the placement of additional access points, we provide universal school connectivity with minimal cost and maximum efficiency. Key AI Features and Benefits - AI-Driven Classification & Clustering: Algorithms analyze geographical, infrastructure, and network data to classify schools and group them strategically. - Network Optimization: Mathematical models forecast the best expansion strategy, ensuring connectivity with the least infrastructure investment. - Cost-Efficient & Scalable Solution: Data-based decision-making enables rapid scalability and adaptation to different regions. This project is designed for governments, NGOs, and telecom providers seeking AI-driven, data-backed solutions to bridge the digital divide in education efficiently and affordably.

🔍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!