Manufacturing & Industry 4.0 EDITHSubmitted July 26, 2026

Factory Wise AI Adviser

An MCP app on the Model Context Protocol built by EDITH at the Amrita University Coimbatore NitroStack × MCP To The Moon hackathon and deployed on NitroStack.

About this project

FactoryWise AI is an Agentic AI-powered decision support platform that helps manufacturers make smarter modernization decisions for legacy factory machines. Instead of simply predicting failures, it analyzes machine health, maintenance history, energy consumption, operational performance, and financial impact to recommend whether a machine should be Continued, Retrofitted, Upgraded, or Replaced. The platform uses multiple specialized AI agents orchestrated through NitroStack MCP, where each agent independently gathers data, performs domain-specific analysis, and collaborates to generate an explainable, ROI-driven recommendation. Every decision includes business reasoning, confidence scores, estimated ROI, and actionable next steps, enabling factory managers to reduce costs, minimize downtime, and accelerate Industry 4.0 adoption through intelligent, data-driven modernization strategies.

Manufacturing & Industry 4.0 track

Create intelligent systems for smart factories, predictive maintenance, quality control, and supply chain optimization.

Source code

Team EDITH

  • Sanjay MSLead

  • G N Bhuvaneshwaran

  • Rupak E

  • Tamizhinban S

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Frequently asked questions

What does Factory Wise AI Adviser do?
FactoryWise AI is an Agentic AI-powered decision support platform that helps manufacturers make smarter modernization decisions for legacy factory machines. Instead of simply predicting failures, it analyzes machine health, maintenance history, energy consumption, operational performance, and financial impact to recommend whether a machine should be Continued, Retrofitted, Upgraded, or Replaced. The platform uses multiple specialized AI agents orchestrated through NitroStack MCP, where each agent independently gathers data, performs domain-specific analysis, and collaborates to generate an explainable, ROI-driven recommendation. Every decision includes business reasoning, confidence scores, estimated ROI, and actionable next steps, enabling factory managers to reduce costs, minimize downtime, and accelerate Industry 4.0 adoption through intelligent, data-driven modernization strategies.
Who built Factory Wise AI Adviser?
Factory Wise AI Adviser was built by team EDITH at the Amrita University Coimbatore NitroStack × MCP To The Moon hackathon, in the Manufacturing & Industry 4.0 track.
What is an MCP app and how is it built?
An MCP app is an application built on the Model Context Protocol — an open standard that lets AI agents connect to tools, data, and APIs. This project exposes MCP tools and resources that agentic AI systems can call. It was built and deployed on NitroStack, the full-stack platform for shipping MCP apps and servers.