AIM Network is an AI-powered application designed for network engineers, integrating seamlessly with existing monitoring tools and network logs. It automates troubleshooting, provides real-time solutions, and enhances operational efficiency while reducing downtime. By leveraging advanced AI technologies like machine learning and predictive analytics, AIM Network optimizes network performance and empowers engineers with actionable insights for proactive management. Core Components Zabbix Dashboard AIM Network integrates with Zabbix, an enterprise-class open-source monitoring solution, offering: Advanced distributed monitoring for servers, networks, and applications. Real-time notifications and alerting. Extensive data collection options (e.g., SNMP, IPMI, JMX). Customizable dashboards and visualization tools. Auto-discovery of network devices and configurations. AI Assistant The AI-powered assistant enhances troubleshooting efficiency with: Intelligent Log Analysis: Automatically identifies patterns and anomalies in network logs. Root Cause Analysis: Pinpoints underlying causes of issues, not just symptoms. Step-by-Step Resolution: Provides actionable guidance to resolve problems. Network Best Practices: Recommends solutions based on industry standards. Knowledge Base: Continuously learns from new issues to improve recommendations. Reduced Downtime: Speeds up issue resolution to minimize disruptions. Key Features Seamless integration with monitoring tools and logs. Real-time troubleshooting and resolution of network issues. AI-powered insights for proactive network management. Optimization of network performance, including speed, bandwidth, and reliability. Ability to answer general network questions using network documentation. Whether addressing latency, connection problems, or bandwidth constraints, AIM Network empowers engineers with expert-level recommendations, ensuring efficient and reliable network operations.
Category tags:Ashrit Kulkarni
Senior Solutions Architect
Padmaja Kakulavarapu
nagarjuna kanneganti
Data Scientist
Team member not visible
This profile isn't complete, so fewer people can see it.
"Who is the customer, is it Network Managers? You could improve the idea by making it clear, how does it work today vs how your solution makes it more efficient. The idea is good. And if you show how much business value they could generate by using your platform you could make it even more impactful."
Jenny Tillgren
Venture Scout and Advisor
"Good idea but needs more clarity"
Surabhi Nayak
Privacy Engineer
"Great idea, from the technical detail side it would be great to add an explanation as to how the chatbot has knowledge of the network."
Thomas Blake
CTO
"This is a very interesting use case, lots of potential, but the edge comes from a non trivial sort of real time RAG implementation which currently is just a response to a prompt by an LLM..."
Ivan Dotu
" Your project is directly relevant to the hackathon challenge and delivers a viable solution for network management, particularly in areas without highly trained network engineers. I see potential in this solution, emphasising that making sense of logs and ping / network data values is not straightforward for everybody. Would be interesting to integrate a 2-way communication to get further recs on the basis of the actions that a network engineer put into place. Look into integration with LibreNMS and other open source NMSs. "
Maria Antonia Bravo