AI for Connectivity Hackathon II: Building Resilient Networks 

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Team Robinhood

Frost_Smugqkek

Safa_Yousaf01

Nimra-Umbreen

Mateeh Ullah

This project introduces an innovative approach to network management by integrating Al-powered network monitoring with a voice-enabled chatbot. The primary goals are to proactively predict network failures and simplify the often complex process of network troubleshooting. Traditional network monitoring systems tend to be reactive, alerting administrators to issues only after they occur, and often require specialized expertise to interpret the data. This project offers a solution by leveraging artificial intelligence to predict potential failures before they impact network performance, coupled with a user-friendly, voice-enabled chatbot to assist with resolving network issues.

Imagine being able to anticipate a network outage before it happens, and then resolving the issue with a simple voice command. This project showcases the powerful integration of Al, voice technology, and network monitoring. Key components include Al for failure prediction, weather-based monitoring, a voice chatbot, and email alerts, creating a comprehensive and intuitive network management system.

Many schools and healthcare centers in underserved areas suffer frequent network downtimes due bad weather The goal is to predict future downtimes using historical network data and provide alerts to preemptively optimize maintenance and response efforts.

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

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