AI for Connectivity Hackathon II: Building Resilient Networks 

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Bridging the Energy/Connectivity Gap in Rural Zambia & Southern Africa

Synergy ML

konrad

"intelligent solar network to bridge the connectivity gap in offgrid and rural areas by directly embedding AI agents in individual solarnodes powering rural communities where traditional AI models struggle to adapt in real-world rural environments, often failing to capture the localized needs of underserved communities.  Instead of relying on pre-trained ML models, our approach deploys AI agents directly into rural areas, embedded within solar infrastructure. These agents interact with communities, collect real-time data, and provide adaptive insights to optimize school connectivity solutions.

Our solution transforms solar units into intelligent AI nodes that serve both as energy hubs and data-driven connectivity enablers. Upon installation, each solar node activates an embedded AI chatbot that interacts with users, gathering hyperlocal insights to inform infrastructure planning. Through the Battery API, the system monitors energy usage, charging patterns, and device health, using predictive analytics for preventive maintenance—reducing downtime and ensuring long-term reliability. Data is sent to a centralized analytics dashboard, allowing decision-makers and partners like GigaSchools to access insights via API integration. By embedding AI-powered intelligence directly into solar networks, we create a self-sustaining system where energy access fuels digital inclusion, ensuring that rural schools and communities remain connected and empowered.
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Transforming solar infrastructure into an intelligent solar network to bridge the connectivity gap in offgrid and rural areas by directly embedding AI agents in individual solarnodes powering rural communities

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

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