AI for Connectivity Hackathon II: Building Resilient Networks 

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Revolutionaries

Yaaminie

believemanasseh

Gabbahia7

Vasanth_VK

Kashif515

SohaibAamir28

Problem: Network outages and equipment failures can have severe consequences, including financial losses, disrupted services, and reputational damage. Traditional maintenance approaches are reactive, addressing issues only after they occur. This leads to inefficiencies, increased costs, and prolonged downtime. There is a critical need for a proactive solution that predicts potential failures and enables timely interventions

solution:ProactiveGuard is a cutting-edge predictive maintenance system designed to revolutionize how organizations manage their infrastructure. The system integrates operational data (e.g., sensor readings), connectivity metrics (e.g., network performance), and geospatial data (e.g., location-based environmental factors) to predict failures before they happen.

Key features of ProactiveGuard include:

Real-Time Risk Prediction : Uses machine learning models to analyze historical and real-time data, providing accurate predictions of failure probabilities.
Geospatial Insights : Incorporates location-specific data to identify patterns and correlations between environmental conditions and equipment performance.
Actionable Alerts : Generates risk levels (Low, Medium, High) and actionable recommendations to guide maintenance teams.
Scalable Architecture : Built with a modular design to support integration with IoT devices, APIs, and third-party systems.

 AI-Driven Predictive Maintenance for Network Resilience. An AI-powered predictive maintenance system that leverages operational, connectivity, and geospatial data to predict network outages and equipment failures. 

ProactiveGuard

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

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