AI for Connectivity Hackathon II: Building Resilient Networks 

Start

Dynamic Duo

MatrixEncoder

Shizain

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.

AI-Powered Network Guardian is a prototype that uses AI and Streamlit for automated network monitoring, predictive maintenance, and cost optimization in public sectors. It currently runs on simulated data, not real-time insights.

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

Team Idea

Submission