Certificate of Participation
This certificate is proudly presented to
Janaki R
for participating as a member of team “MetaMinds” in the
Amrita University Amritapuri campus Hackathon
Jul 17-18, 2026
Abhishek Pandit
CEO, Nitrostack
Pablo Jiménez Godoy
CEO, Wekan Enterprises
📣 Suggested LinkedIn post
🚀 Proud to have participated in the NitroStack MCP to the Moon Hackathon! Built with MCP, Wekan & NitroStack cloud infrastructure as part of team "MetaMinds". Grateful to @NitroStack @mcptothemoon @Wekan for an incredible hackathon experience — amazing mentors, real infra, and a great community. 🙌 🏅 My verified certificate: https://nitrostack.ai/university/6a47e78ac305f1c3b0338b94/certificate/6a599bdd654f53027940302e #MCPToTheMoon #NitroStack #Hackathon #BuildInPublic #MCP #AIAgents
Team
MetaMinds
University
Amrita University Amritapuri campus
Hackathon dates
Jul 17-18, 2026
Track
Manufacturing & Industry 4.0
What they built
FactoryLens - An End To End Factory Failure Investigation Platform
FactoryLens – Because Every Second of Downtime Costs More Than Just Time FactoryLens is an AI-powered smart factory maintenance assistant built using the Model Context Protocol (MCP) and the NitroStack SDK. It brings together machine telemetry, maintenance history, equipment manuals, and production schedules into a single intelligent interface, allowing AI assistants to access factory data through structured tools and resources. Instead of manually investigating equipment failures, technicians can simply ask questions like "Why is Machine MCH-004 overheating?" or "What does error E101 mean?" FactoryLens automatically analyzes sensor data, reviews maintenance records, consults equipment manuals, identifies the most likely root cause, estimates business impact, and can even generate a maintenance work order for critical issues. Rather than displaying raw data, FactoryLens connects information from multiple sources to provide clear, evidence-backed insights through interactive dashboards and investigation reports. This helps technicians, engineers, and plant managers diagnose problems faster and make informed maintenance decisions. By reducing troubleshooting time, minimizing equipment downtime, and streamlining maintenance workflows, FactoryLens improves factory productivity and reliability. As it evolves with live IoT integration, predictive maintenance, and cloud connectivity, it has the potential to enable smarter, more proactive industrial operations.