AI for Connectivity Hackathon II: Building Resilient Networks 

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Network Stability Measurement Project Using AI

Introduction
This project aims to measure network stability by analyzing response time (latency) using artificial intelligence tools. The system sends requests to internet servers, measures the time taken for a response, and then provides a simple numerical report reflecting the average response time. This helps in evaluating the speed and stability of the connection.  

How It Works
The system follows these steps to measure network stability:  

1. Sending Requests:Data packets are sent to predefined internet servers.  
2. Measuring Response Time:The time taken between sending the request and receiving a response from the server is recorded.  
3. Calculating the Average:After collecting multiple measurements, the system calculates the average response time.  
4. Generating the Report:A simple numerical report is displayed or sent, containing only response time values without detailed analysis.  

Project Output
- Only numerical values for response time (latency),without detailed analysis or graphical representations.  
- A simple report containing the average, minimum, and maximum response time, if necessary.

Benefits and Applications
- Quick and easy monitoring of network stability.
- Providing direct data for service providers or users to assess connection quality.
- Potential integration with other systems that require latency data for performance optimization.

Conclusion
This project offers a simple and efficient way to measure network stability by calculating response time and generating a basic numerical report. This allows users to get a direct evaluation of their internet connection quality without complex analysis.I’m 

The project uses AI tools to measure network stability by calculating response time (latency) from internet server responses and generating a report on connection speed.

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