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Restaurant Management System (RMS)
A comprehensive web-based solution for restaurant operations management, built with Next.js, TypeScript, and MySQL.

Project Overview
The Restaurant Management System (RMS) is a full-stack application designed to streamline restaurant operations across multiple roles. This solution provides specialized interfaces for administrators, waiters, chefs, and customers, enabling efficient order management, inventory tracking, and financial reporting.

With real-time updates, the system ensures seamless coordination between the dining area and kitchen. The platform incorporates advanced features like ML-based inventory forecasting, attendance tracking, and detailed financial analytics to optimize restaurant operations and enhance decision-making.

Features
Role-Based Access
Admin Dashboard: Financial overview, staff management, inventory tracking, and business analytics
Waiter Interface: Order management, table assignments, and bill generation
Chef Portal: Kitchen queue monitoring and order status updates
Customer Experience: Menu browsing, order placement, and status tracking
Key Capabilities
Real-time Updates: Instant communication and synchronization between staff
Financial Management: Track revenue, expenses, and generate reports
Inventory Control: Stock monitoring with low-stock alerts and ML-based forecasting
Staff Management: Attendance tracking and payroll processing
Theme Customization: Configurable UI themes to match your restaurant's branding
Tech Stack
Frontend: Next.js, React, TypeScript, TailwindCSS
Backend: Next.js API routes, Node.js
Database: MySQL
Authentication: NextAuth.js
State Management: React Context API
ML/Analytics: Python with Prophet for forecasting
Styling: TailwindCSS, CSS Modules
Demo Credentials
Staff Access
Admin:
ID: AD4477
Password: w%%#Ja
Chef:
ID: CH4475
Password: 42gQ$_l!A=mh
Waiter:
ID: WA4457
Password: 1dNv1BnKsb!p
Customer Access
Use any mobile number to register/login
Workflows
Order Processing
Customer or waiter places an order
Order appears in the kitchen queue
Chef updates preparation status
Waiter delivers and processes payment
System generates invoice and updates inventory
Inventory Management
System monitors stock levels
Low-stock alerts trigger reorder notifications
ML forecasting predicts future inventory needs
Purchase orders are generated and tracked
Financial Reporting
System tracks all sales and expenses
Daily, weekly, and monthly reports are generated
Profit and loss statements are calculated automatically
Tax calculations are handled based on configured rates
Staff Management
Employee attendance is tracked with check-in/out
Payroll is calculated based on hours worked
Performance metrics are generated for staff evaluation
Shift scheduling and management
System Architecture
The RMS follows a modern architecture pattern with several key components:

Frontend Layer
Client Applications: Responsive web interfaces for different user roles
State Management: React hooks and context for local state management
UI Components: Reusable component library with Tailwind styling
Backend Layer
API Routes: Next.js API routes for handling requests
Authentication: Role-based access control with NextAuth.js
Business Logic: Core application logic for order processing, inventory management, etc.
Data Layer
Database: MySQL for persistent storage with optimized queries
Data Synchronization: Efficient polling and state management for updates
Caching: In-memory caching for frequently accessed data
Analytics Layer
ML Service: Python-based forecasting service with Prophet
Data Processing: ETL processes for transforming raw data
Reporting Engine: Dynamic report generation for business insights
Security Features
Authentication: Secure login system with role-based access control
Data Protection: Encrypted sensitive information and secure API endpoints
Input Validation: Comprehensive validation to prevent injection attacks
Session Management: Secure session handling with automatic timeouts
API Security: Protected API routes with proper authorization checks
Future Roadmap
Mobile Applications: Native mobile apps for Android and iOS
Advanced Analytics: Enhanced business intelligence dashboards
Multi-language Support: Internationalization for global use
Integration APIs: Connect with third-party delivery and accounting services
AI-powered Recommendations: Smart menu suggestions based on customer preferences
Development Team
Muhammad Ashif Raza - Software Engineer
Zeeshan Sayeed - Full Stack Developer