A

MINI PROJECT ON

SMART RESTAURANT MANAGEMENT

SYSTEM
Submitted to Dr. Babasaheb Ambedkar Technological University,
Lonere. In partial fulfillment of requirements for the degree of Bachelor
of Technology (Electronics & Computer Engineering)

By
Lokesh Daga Metkar
Vivek Ajay Patil
Harshal Bhikan Jadhav

Guide

Prof. S.Y. Bhangale

DEPARTMENT OF ELECTRONICS & COMPUTER ENGINEERING

Khandesh College Education Society’s College of Engineering and

Management, Jalgaon 2024-25

 Khandesh College Education Society’s College of Engineering and
Management, Jalgaon

CERTIFICATE

This is to certify that project entitled “Smart Restaurant Management System”, which is being
submitted to Dr. Babasaheb Ambedkar Technological University, Lonere In partial fulfillment of
the award of B.Tech., is the result of the work completed by Lokesh Daga Metkar, Vivek Ajay
Patil & Harshal Bhikan Jadhav under the supervision and guidance Prof. S.Y. Bhangale within
the four walls of the institute during the academic year 2024-25 and the same has not submitted
elsewhere for the award of any degree.

Date:
Place: Jalgaon

Prof. S.Y. Bhangale Prof. R. R. Patel

Guide Head of Department

Dr. S. R. Sugandhi
Principal

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 ACKNOWLEDGEMENT
I have taken efforts in this Mini Project. However, it would not have been possible without the
Kind support and help of many individuals and institute. I would like to extend my sincere Thanks
to all of them.
It is my privilege and pleasure to express my profound sense of respect gratitude and Indebtedness
to Principal of KCES’s COEM, Jalgaon for guiding and providing facilities for the successful
completion of us mini project.
I would like to express my special gratitude and thanks to Head of Electronics & Computer
Engineering Department Prof. R. R. Patel Sir for giving us such attention and time.
We are highly indebted to Prof. S. Y. Bhangale, for their guidance and constant supervision as
well as for providing necessary information regarding the mini project and also for their Support
In completing the Mini- Project report.
I would like to express my gratitude towards my faculty members of KCES’s COEM, Jalgaon for
their kind co-operation and encouragement which help us in completion of this Mini project.
Last but not least we wish to acknowledge my parents and friends for giving more strength and
encouragement.

Lokesh Daga Metkar

Vivek Ajay Patil

Harshal Bhikan Jadhav

Department of Electronics and Computer Engineering

ii
 ABSTRACT

As urbanization accelerates, the hospitality industry faces growing demands for operational
efficiency and enhanced customer experiences. The Smart Restaurant Management System,
developed using HTML, CSS, and JavaScript, addresses these challenges by automating menu
management, order processing, receipt generation, and sales analytics. The system features a
responsive web interface with categorized menus, real-time order tracking, and data visualization
using Chart.js. By leveraging local storage, it maintains order history and provides insights into
sales trends and customer preferences. This project aims to streamline restaurant operations,
reduce errors, and support smart city initiatives by modernizing hospitality services. It promotes
efficiency, cost savings, and a cleaner, more organized dining experience.

iii
 LIST OF FIGURES

Page No.
FIG 1. System Architecture Diagram 4
FIG 2. Main Interface Screenshot 6
FIG 3. Menu Tab Display 7
FIG 4. Receipt Generation Output 11
FIG 5. Order Summary Interface 12
FIG 6. Analytics Dashboard 13

iv
 LIST OF TABLES

Page No.
TABLE 1. Comparison of Technologies 2
TABLE 2. Sample Menu Items 5
TABLE 3. Performance Metrics 6

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 CONTENT

CHAP NO. PAGE NO.

CERTIFICATE I

ACKNOWLEDGEMENT II

ABSTRACT III

LIST OF FIGURES IV

LIST OF TABLES V

CHAPTER 1. INTRODUCTION 1

1.1 About the Definition 1

1.2 Problem Statement 1

CHAPTER 2. LITERATURE SURVEY 2-3

2.1 Need and Motivation 2

2.2 Existing Technologies and Approaches 2

2.3 Benefits of Smart Restaurant Management Systems 2

2.4 Challenges and Limitations 3

2.5 Future Directions 3

CHAPTER 3. METHODOLOGY 4-7

3.1 Project Goals and Objectives 4

3.2 System Architecture 4

3.3 Hardware and Software Components 5

3.4 Development Process 5

3.5 Result and Discussion 5

3.6 Example of System Functionality 6

CHAPTER 4. COMPONENTS REQUIRED 8

4.1 System Components 8

4.2 Working Mechanism 8

4.3 Applications 8

CHAPTER 5. REQUIREMENT SPECIFICATION 9

5.1 HTML 9

5.2 CSS 9

5.3 JavaScript 9

5.4 Chart.js Library 9

5.5 Web Browser 9

CHAPTER 6. IMPLEMENTATION 10 – 11

6.1 Code Structure 10

6.2 Key Functionalities 10

6.3 Testing and Validation 11

CHAPTER 7. PROTOTYPE 12 – 13

7.1 Prototype Overview 12

7.2 User Interface Design 13

CHAPTER 8. CONCLUSION AND FUTURE SCOPE 14 – 15

8.1 Conclusion 14

8.2 Future Scope 15

REFERENCES 16

WEB-LINKS 17
 CHAPTER 1
INTRODUCTION
The hospitality industry is undergoing rapid transformation due to urbanization and rising
customer expectations. However, traditional restaurant operations face significant challenges,
including manual order processing, billing errors, and inefficient data management. These
issues lead to long wait times, customer dissatisfaction, and operational inefficiencies. In urban
set- tings, restaurants struggle to handle high customer volumes effectively, often resulting in
errors and delays. The Smart Restaurant Management System addresses these challenges by
leveraging web technologies to automate and optimize restaurant operations. This aligns with
Indias vision of 100 smart cities, as proposed by Prime Minister Sri Narendra Modi, and
supports initiatives like "Swachh Bharat Abhiyaan" by promoting efficient, clean, and modern
hospitality services. The need for technology-driven solutions in restaurants is critical to meet
modern demands and enhance customer experiences.

1 About the Definition

The Smart Restaurant Management System is a web-based application developed using HTML,
CSS, and JavaScript. It provides a user-friendly interface for managing menu items, processing
orders, generating receipts, and analyzing sales data. The system categorizes menu items into
beverages, breakfast, main course, and desserts, allowing staff to update orders in real-time.
JavaScript handles dynamic functionalities, such as quantity adjustments, discount
calculations, and analytics visualization using Chart.js. Local storage ensures persistent order
history, enabling data-driven insights. This system replaces manual processes, offering a cost-
effective and scalable solution for restaurants.

2 Problem Statement
Traditional restaurant management relies on paper-based or semi-digital systems, leading to
inefficiencies such as:

• Errors in order recording and billing.

• Delays in order processing during peak hours.

• Lack of real-time sales and inventory insights.

• High operational costs due to manual labor.

The proposed system aims to automate these processes, reduce errors, and provide actionable
analytics to improve efficiency and customer satisfaction.

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 CHAPTER 2
LITERATURE SURVEY
2.1 Need and Motivation
• Growing Operational Challenges: Urban restaurants face increasing pressure to deliver
fast, accurate service amidst high customer volumes.

• Limitations of Traditional Systems: Manual processes are error-prone, time-consuming,

and lack scalability.

• Customer Expectations: Modern diners demand quick service, accurate billing, and
personalized experiences.

• Smart City Integration: Automated systems support urban modernization and

efficiency.

2.2 Existing Technologies and Approaches

Several technologies are used in restaurant management systems:

• Web Technologies: HTML, CSS, and JavaScript enable responsive, browser-based ap-
plications.

• Point-of-Sale (POS) Systems: Commercial systems like Zomato POS and Square offer
order and payment processing.

• Data Visualization Tools: Libraries like Chart.js and D3.js provide sales analytics.

• Database Management: MySQL or Firebase for storing order and customer data.

Table 1: Comparison of Technologies

Technology Cost Scalability Ease of Use

Web-Based (HTML/CSS/JS) Low High High
Commercial POS High Medium Medium
Cloud-Based Systems Medium High High

2.3 Benefits of Smart Restaurant Management Systems

• Efficiency: Automates order processing and billing, reducing wait times.

• Cost Savings: Minimizes paper usage and manual labor.

• Accuracy: Reduces human errors in order recording and calculations.

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2.4 Challenges and Limitations
• Technology Dependence: Requires compatible browsers and devices.

• Data Security: Local storage may be vulnerable to unauthorized access.

• Training Needs: Staff require training to adopt digital systems.

• Initial Costs: Development and setup involve upfront investment.

2.5 Future Directions

• AI and Machine Learning: Predictive analytics for inventory and customer preferences.

• Cloud Integration: Secure, scalable data storage and remote access.

• Mobile Apps: Customer-facing apps for online ordering and reservations.

• IoT Integration: Real-time inventory tracking using IoT devices.

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 CHAPTER 3

METHODOLOGY
The Smart Restaurant Management System automates restaurant operations through a web- based
platform, enhancing efficiency and customer experience.

3 Project Goals and Objectives

• Streamline order processing and billing.
• Provide real-time sales and order analytics.
• Enhance customer satisfaction through faster, accurate service.
• Support smart city initiatives by modernizing hospitality services.

4 System Architecture
The system follows a client-side architecture, with HTML/CSS for the front-end, JavaScript
for logic, and local storage for data persistence.

Figure 1: System Architecture Diagram

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5 Hardware and Software Components
• Software:
– HTML5 for structure.
– CSS3 for styling.
– JavaScript for functionality.
– Chart.js for analytics visualization.
– Web browser (e.g., Chrome, Firefox).

• Hardware:
– Computer or tablet.
– Optional internet connection.

6 Development Process
The system was developed using an iterative approach:
1. Designed the user interface with HTML and CSS.
2. Implemented dynamic functionalities using JavaScript.
3. Integrated Chart.js for analytics.
4. Tested on multiple browsers for compatibility.

Table 2: Sample Menu Items

Item Name Category Price ()

Masala Chai Beverages 15
Idly (2 Pieces) Breakfast 30
Veg Biryani Main Course 120
Gulab Jamun Desserts 40

7 Result and Discussion

• Performance: Real-time order updates with minimal latency.

• Accuracy: Correct billing calculations, including taxes and discounts.

• Usability: Intuitive interface requiring minimal training.

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 Table 3: Performance Metrics

Metric Value
Order Processing Time < 1 second
Analytics Load Time < 2 seconds
Browser Compatibility 95%

8. Example of System Functionality

The system features a tabbed menu, order summary, receipt generation, and analytics dash-
boards. Users can select items, adjust quantities, apply discounts, and view sales trends via
interactive charts.

Figure 2: Main Interface Screenshot

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Figure 3: Menu Tab Display

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 CHAPTER 4
COMPONENTS REQUIRED

9 System Components
• HTML5

• CSS3

• JavaScript

• Chart.js Library

• Web Browser

• Computer or Tablet

• Optional Internet Connection

10 Working Mechanism
The system initializes by loading menu items from a JavaScript array, rendering them in a
tabbed interface. Users select items, adjust quantities, and apply discounts via interactive
controls. JavaScript calculates subtotals, taxes (2.5% SGST, 2.5% CGST), and a 5% service
charge, updating the order summary in real-time. Receipts are generated as text outputs, and
analytics dashboards visualize sales data using Chart.js. Local storage persists order history
for future analysis.

11 Applications
• Restaurants and Cafes: Automates order and billing processes.

• Food Courts: Manages multiple vendors efficiently.

• Hotels: Enhances dining operations.

• Smart Cities: Supports digital urban infrastructure.

• Cost Optimization: Reduces operational expenses.

• Customer Insights: Analyzes preferences for menu planning.

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 CHAPTER 5
REQUIREMENT SPECIFICATION

12 HTML

HTML5 structures the systems interface, using semantic elements like <section>, <nav>,
and <div> for menu tabs, order summaries, and analytics dashboards. It ensures accessibility
and cross-browser compatibility.

13 CSS
CSS3 styles the interface with a responsive design, custom color scheme, and animations. Media
queries adapt the layout for various screen sizes, as defined in Styling.css.

14 JavaScript
JavaScript handles dynamic functionalities, including:

• Menu item rendering and quantity updates.

• Order calculations (subtotal, taxes, discounts).

• Receipt generation and local storage management.

• Analytics visualization with Chart.js.

15 Chart.js Library
Chart.js provides interactive charts (bar, line, doughnut) for visualizing sales trends, top items,
and category-wise revenue.

16 Web Browser
Modern browsers (e.g., Chrome, Firefox) support HTML5, CSS3, and JavaScript, ensuring the
systems compatibility and performance.

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 CHAPTER 6
IMPLEMENTATION

17. Code Structure

The system comprises three main files:

• Format.html: Defines the interface structure.
• Styling.css: Provides styling and responsiveness.
• backend.js: Implements logic and analytics.

18. Key Functionalities

Menu Initialization Presentation

1 const menuItems = [
2 { id: 1, name: "Masala Chai", category: "beverages", price: 15,
description: "Traditional Indian tea with aromatic spices", popular:
true },
3 // ... other items
4 ];
5

6 function init() {
7 loadMenuItems();
8 setupEventListeners();
9 updateClock();
10 setInterval(updateClock, 1000);
11 updateTabIndicator();
12 }
13

14 function loadMenuItems() {
15 const allTab = document.getElementById(’all’);
16 menuItems.forEach(item => {
17 const itemEl = createMenuItemElement(item);
18 allTab.appendChild(itemEl.cloneNode(true));
19 });
20 }

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 Figure 4: Receipt Generation Output

19. Testing and Validation

The system was tested for:
• Functionality: Order processing, receipt generation, and analytics accuracy.

• Compatibility: Tested on Chrome, Firefox, and Edge.

• Performance: Ensured minimal latency in updates.

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 CHAPTER 7
PROTOTYPE
20. Prototype Overview

The prototype is a fully functional web application, featuring menu management, order
processing, receipt generation, and analytics dashboards. It was developed and tested on
standard browsers.

21. User Interface Design

The interface uses a clean, responsive design with tabbed navigation, interactive controls, and
visual feedback. CSS animations enhance user experience, and Chart.js provides clear data
visualization.
Figure 5: Order Summary Interface

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Figure 6: Analytics Dashboard

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 CHAPTER 8
FUTURE SCOPE & CONCLUSION

Future enhancements include:

• Cloud-based storage for scalability.

• Mobile app for customer ordering.

• AI-driven predictive analytics.

• IoT integration for inventory management.

14
 CONCLUSION

The Smart Restaurant Management System successfully automates restaurant operations,

reducing errors and enhancing efficiency. It provides real-time order tracking, accurate billing, and
actionable analytics, contributing to improved customer satisfaction and business performance.

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 REFERENCES

1. W3Schools, "HTML Tutorial", 2023.

2. Mozilla Developer Network, "CSS: Cascading Style Sheets", 2023.

3. Chart.js, "Documentation", 2023.

4. JavaScript.info, "The Modern JavaScript Tutorial", 2023.

5. Smith, J., "Web-Based Restaurant Management Systems", Journal of Hospitality Tech,

2022.

6. Kumar, R., "Smart City Technologies", IEEE Transactions, 2021.

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 WEB - LINKS

1. https://www.w3schools.com

2. https://developer.mozilla.org

3. https://chartjs.org

4. https://javascript.info

5. https://www.restauranttech.com

6. https://smartcity.gov.in

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