Manufacturing & Industry 4.0 Omni-BotsSubmitted July 18, 2026

SYNTH-LINE FACTORY OS

An MCP app on the Model Context Protocol built by Omni-Bots at the Amrita University Amritapuri campus NitroStack × MCP To The Moon hackathon and deployed on NitroStack.

About this project

Factory OS – Problem Statement & Solution Project Overview Factory OS is an AI-powered manufacturing intelligence platform that automates quality inspection, procurement, and supply chain management using four specialized AI agents. It enables manufacturers to detect defects in real time, make instant decisions, automatically procure replacement parts, and monitor factory operations through a unified dashboard. Problem Statement Manufacturing industries face three major challenges that reduce efficiency and increase operational costs. 1. Slow Quality Control: Most factories still depend on manual visual inspection to identify defects. This process is slow, inconsistent, and prone to human error, allowing defective products to reach customers and increasing rework, recalls, and financial losses. 2. Inefficient Procurement: When a defective part is detected, procurement teams manually search for suppliers, compare prices, and place purchase orders. This process often takes hours or days, resulting in production delays, downtime, and increased operational costs. 3. Lack of Real-Time Visibility: Factory managers often rely on historical reports rather than live production data. Without real-time monitoring and automated decision-making, issues are identified too late, leading to reduced productivity and slower response times. Our Solution Factory OS solves these problems using four AI agents that work together in real time. AI Vision Classifier The Vision Classifier continuously monitors products on the production line using computer vision. It detects structural defects and surface anomalies with 98.2% accuracy in just 45 milliseconds, preventing defective products from moving further in the manufacturing process. Triage Agent Once a defect is detected, the Triage Agent instantly decides whether the product should be accepted, repaired, or rejected. It automatically routes the product to the appropriate workflow within 12 milliseconds, eliminating manual d

Manufacturing & Industry 4.0 track

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

Team Omni-Bots

  • NITHISH KUMAR SARAVANANLead

  • Vikrant.c

  • Rama Sri Surya

  • Nithilan

Frequently asked questions

What does SYNTH-LINE FACTORY OS do?
Factory OS – Problem Statement & Solution Project Overview Factory OS is an AI-powered manufacturing intelligence platform that automates quality inspection, procurement, and supply chain management using four specialized AI agents. It enables manufacturers to detect defects in real time, make instant decisions, automatically procure replacement parts, and monitor factory operations through a unified dashboard. Problem Statement Manufacturing industries face three major challenges that reduce efficiency and increase operational costs. 1. Slow Quality Control: Most factories still depend on manual visual inspection to identify defects. This process is slow, inconsistent, and prone to human error, allowing defective products to reach customers and increasing rework, recalls, and financial losses. 2. Inefficient Procurement: When a defective part is detected, procurement teams manually search for suppliers, compare prices, and place purchase orders. This process often takes hours or days, resulting in production delays, downtime, and increased operational costs. 3. Lack of Real-Time Visibility: Factory managers often rely on historical reports rather than live production data. Without real-time monitoring and automated decision-making, issues are identified too late, leading to reduced productivity and slower response times. Our Solution Factory OS solves these problems using four AI agents that work together in real time. AI Vision Classifier The Vision Classifier continuously monitors products on the production line using computer vision. It detects structural defects and surface anomalies with 98.2% accuracy in just 45 milliseconds, preventing defective products from moving further in the manufacturing process. Triage Agent Once a defect is detected, the Triage Agent instantly decides whether the product should be accepted, repaired, or rejected. It automatically routes the product to the appropriate workflow within 12 milliseconds, eliminating manual d
Who built SYNTH-LINE FACTORY OS?
SYNTH-LINE FACTORY OS was built by team Omni-Bots at the Amrita University Amritapuri campus 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.