AI for Connectivity Hackathon II: Building Resilient Networks 

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AI-Powered Resilience for Every Community

GridGuardians

WAQAS

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

AI-powered platform optimizing public sector networks with predictive maintenance and energy savings for schools, clinics, and underserved communities.

"GridGuardians team on AI for Connectivity Hackathon II: Building Resilient Networks Hackathon"

Team Idea

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