Mehwish Munawer@Mehwish_Braniac

Problem: Public sector networks in underserved regions face crippling energy costs (40-60% of budgets), frequent outages (15-20% downtime), and reactive maintenance models that drain resources. Solution: GridGuardians leverages AI to: • Predict equipment failures 72hrs in advance using Prophet time-series forecasting • Reduce energy waste by 22% via anomaly detection (Isolation Forest) • Prioritize repairs using cost-benefit simulations (Random Forest regression) Target Audience: Governments, NGOs, and institutions managing connectivity for: • Rural schools (Giga partnership focus) • Healthcare facilities (HealthSites integration) • Low-income urban communities Unique Features: • Offline-first design for low-bandwidth areas • Open-source core with federated learning • Carbon credit reporting for sustainability grants

🔍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!