OrderWorder

Name: OrderWorder
Author: itzzritik

Warning

OrderWorder - Revolutionize your restaurant with a sleek, contactless full-stack app powered by AI. From QR code menus and smart chatbot recommendations to seamless ordering, real-time kitchen tracking, and powerful admin dashboards - all built with Next.js & SCSS for lightning-fast, modern dining experiences.

119stars

39forks

Python

Added 3/9/2026

View on GitHub Download ZIP Scan for vulnerabilities

AI Agentsadminadmin-panelaiai-assistantanimation

Installation

# Add to your Claude Code skills
git clone https://github.com/itzzritik/OrderWorder

Getting Started

Guides for using ai agents skills like OrderWorder.

Security ReportWarning

Last scanned: 5/30/2026

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README.md

Agentic AI for Beginners

Build your first AI agent from scratch - tool use, ReAct pattern, memory, deployment

41 minBeginner

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OrderWorder – Contactless Restaurant Ordering System

OrderWorder Banner

🚀 Overview

OrderWorder is a full-stack, AI-powered contactless dining platform designed to digitize restaurant operations. From scanning a QR code to placing an order, chatting with an intelligent AI assistant, and managing kitchen workflows - everything runs on a clean, modern web app built with Next.js, MongoDB, and SCSS.

✨ Features

📱 QR Code-Based Access: Every table gets a unique QR code for instant menu access.
🤖 AI-Powered Assistant: Chat with Jarvis, your intelligent restaurant assistant for personalized menu recommendations.
🍽️ Smart Ordering: Customers can browse menus, add items, and place orders - no app download required.
🧑‍🍳 Live Kitchen Dashboard: Real-time order updates for chefs to prep efficiently.
🧑‍💼 Admin Panel: Manage tables, orders, inventory, payroll, and more.
⚡ Real-Time UI: Fast, responsive, and optimized for mobile/tablet/desktop.
🌗 Dark Theme Support: Modern design with animation and smooth transitions.

🧠 AI Integration (Jarvis)

Built on Google Gemini (Gemma-27b) via Vercel AI SDK, Jarvis uses advanced prompt engineering to act as a virtual waiter.

Context-Aware: Dynamically injects real-time menu data (MongoDB) into system prompts for accurate allergen/ingredient answers.
Structured Output: Uses custom tokens to return direct item recommendations adjacent to natural language responses.
No Vectors Required: efficient, real-time context injection without complex vector databases.

🛠️ Tech Stack

Frontend: React + Next.js
Styling: SCSS (SASS)
Backend: API Routes in Next.js
Database: MongoDB
Hosting: Vercel
Authentication: NextAuth.js
State Management: React Context + Redux
AI & Chatbot: Vercel AI SDK + Google Gemini (Gemma-27b)

🔍 Try it out

Orderworder has two interfaces, one for customers and one for restaurant's admin.

🧑 Customer Login:

👨‍💼 Admin Login (Open in separate browser):

🖼️ Screenshots

📋 Menu Interface

🛠️ Admin Dashboard

📌 Tags

nextjs react javascript mongo sass typescript ai chatbot ai-assistant admin-panel dashboard qr-code realtime restaurant ecommerce responsive dark-theme ui animation scanner

⭐ Support the Project

If you find OrderWorder useful, please give it a ⭐ on GitHub!
Have ideas or improvements? Contributions via issues or pull requests are warmly welcome!