Ops-Copilot is an industrial AI assistant for factory operators who need fast, document-grounded troubleshooting support on the production floor. It combines Firebase-backed user workflows with Genkit-powered retrieval to turn technical manuals into guided operator actions.
Demo: YouTube walkthrough
Industrial troubleshooting often breaks down when operators must search scattered PDFs, tribal knowledge, or maintenance notes under time pressure. Ops-Copilot demonstrates a lightweight way to centralize that knowledge and turn it into a practical assistant with context, auditability, and repeatable workflows.
- Answers operator questions with document-grounded responses.
- Uses retrieval-augmented generation to search a curated knowledge base.
- Supports Firebase authentication and persistent operator chat history.
- Highlights the most relevant manual section behind each answer.
- Converts procedural answers into interactive checklists for execution tracking.
- Frontend: Next.js App Router, React 19, Tailwind CSS, ShadCN UI
- AI runtime: Genkit with Google Gemini Flash models
- Knowledge layer: JSON knowledge base ingested into a temporary vector workflow
- Data layer: Firebase Authentication and Firestore
- Deployment target: Firebase App Hosting
- Node.js 20+
- npm
- A Firebase project with Authentication and Firestore enabled
- A Google AI Studio API key
npm install
cp .env.example .envUpdate .env with your Firebase web configuration and Gemini API key.
npm run devThe app runs on http://localhost:9002.
npm run genkit:devpublic/knowledge_base.jsoncontains the sample knowledge corpus.src/ai/flows/*contains the retrieval and answer-generation workflows.src/firebase/*contains client authentication and persistence wiring.docs/blueprint.mdcaptures the product blueprint and implementation intent.
This repository is documentation-first. It is intended to show product thinking for industrial AI copilots rather than act as a polished public SaaS deployment.
MIT