AI-Powered Network Guardian
Our project, AI-Powered Network Guardian, is a prototype designed to enhance the scalability and sustainability of public sector networks. It leverages AI and automation to provide predictive maintenance, real-time monitoring, and cost optimization for network infrastructure. Using machine learning models, it can detect anomalies, predict potential failures, and recommend proactive solutions to minimize downtime and reduce operational costs. We have integrated Streamlit for an interactive dashboard that visualizes network health, alerts, and optimization insights. Currently, this is a prototype running on simulated data, demonstrating the feasibility of AI-driven network management. Future iterations can incorporate real-time data, advanced AI models, and broader integrations to support large-scale public sector infrastructure.
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"Great explanation of current challenges, would be great to see a technical architecture diagram and an explanation of how you carry out cost simulations"
Thomas Blake
CTO
"Interesting tool for monitoring networks. Would like to see more about future improvements and how AI/ML can be integrated more into your solution"
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