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CHAPTER 01

INTRODUCTION

We are implementing our idea of creating the database that to accept and store the data
about the functions of smart city and we use to manage the database to resolve the problems of the
smart city public.
A smart city is a technologically modern urban area that uses different types of electronic methods
and sensors to collect specific data. Information gained from that data is used to manage assets,
resources and services efficiently; in return, that data is used to improve operations across the city.
This includes data collected from citizens, devices, buildings and assets that is processed and
analyses to monitor and manage traffic and transportation systems, power plants, utilities, water
supply networks, waste, information systems, Govt schools, libraries, hospitals, and other
community services.
A smart city is an urban region that is highly advanced in terms of overall infrastructure,
sustainable real estate, communication and market viability. It’s a city where information
technology is the principle infrastructure and the basis providing essential services to resident. It
is a urban development vision to interact information and technology and internet of things
technology in a secure fashion to manage a city assets.
Growing smart does not only cover financing in the new upcoming technologies and fixing
them up in the city but brining them into implementation, finding the solution to the real-life
obstacles, government officials looking to advance the city operations, and at the same time
concentrating evenly on the community quality of life. This Major Project Smart City
Information System should also encourage the idea of sustainable development as it is the
fundamental need of an hour and we cannot settle in dealing with the precious natural resources
and fall into the trial.

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1.1 Problem Statement

The current urban management systems in many cities are fragmented and inefficient, leading
to a range of issues that adversely affect the quality of life for residents.

These issues include:

1. Traffic Congestion: Inefficient traffic management systems result in significant
delays, increased pollution, and decreased productivity.

2. Public Transportation: Poorly managed public transportation systems cause

inconvenience and reduce accessibility, leading to an increased reliance on private
vehicles.

3. Utilities Management: Inadequate monitoring and control of utilities such as

electricity, water supply, and waste management result in resource wastage and service
disruptions.

4. Environmental Sustainability: Lack of real-time data and analytics hinders efforts to

monitor and reduce environmental impact, affecting sustainability goals.

5. Public Safety and Health: Inconsistent data sharing between departments hampers
effective responses to emergencies, public health crises, and safety concerns.

6. Community Services: Limited access to information and services such as education,

healthcare, and government services reduces the overall efficiency and satisfaction of
city residents.

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CHAPTER 02
EXISTING SYSTEM AND PROPOSED SYSTEM

2.1 Existing System:

The existing system for urban management in many cities is largely manual and
fragmented. This manual system is prone to errors, time-consuming, and inefficient. It is difficult
for personnel to produce accurate reports in a timely manner, leading to potential for errors and
malpractices. This system involves a significant amount of manual data entry and paperwork,
which decreases efficiency, accuracy, and productivity.

Key issues with the existing manual system include:

1. High Expenditure: Increased costs associated with paper usage, storage, and
management.

2. Human Errors: High labor requirements lead to increased chances of errors.

3. Limited Financial Control: Ineffective monitoring and management of funds and

resources.

4. Time Delays: Significant delays between actions (e.g., payment and receipt) due to manual
processing.

5. Geographic Inefficiency: Difficulty in coordinating and transacting efficiently for

individuals located in different parts of the city or the world.

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2.2 Project Objectives

The Smart City Information System (SCIS) project aims to transform urban management
practices through technology, addressing key challenges and optimizing operational efficiency.
The primary objectives of the project are:

1. Comprehensive Analysis: Conduct a thorough analysis of the current urban management

system, identifying inefficiencies, challenges, and areas for improvement.

2. Technology Integration: Leverage innovative technologies such as IoT, data analytics,

and artificial intelligence to enhance city operations and services.

3. Operational Efficiency: Streamline processes to reduce time, energy, and cost associated
with urban management tasks.

4. Risk Mitigation: Implement strategies to mitigate risks associated with manual errors and
inefficiencies.

5. Enhanced Public Services: Improve the quality and accessibility of public services,
enhancing overall community satisfaction.

The SCIS project will address these objectives by developing an integrated, data-driven platform
that centralizes various aspects of urban management.

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2.3 Proposed System

The proposed Smart City Information System (SCIS) will digitize and integrate urban
management functions, reducing data redundancy and the cumbersome task of maintaining
multiple documents. This system will eliminate delays in report generation, facilitate faster
information retrieval, and ensure data privacy and security for all stakeholders.

Key features of the proposed system include:

I. Centralized Data Management: A unified platform for storing and managing data,
reducing redundancy and improving accessibility.

II. Real-time Analytics: Advanced data analytics for real-time monitoring and decision-
making.

III. Automated Processes: Automation of routine tasks to reduce human error and increase
efficiency.

IV. Improved Reporting: Fast and accurate report generation for better transparency and
accountability.

V. Enhanced Security: Robust data security measures to ensure the privacy and integrity of
information.
By implementing the SCIS, the project aims to create a more efficient, sustainable, and responsive
urban management system that enhances the quality of life for residents and supports sustainable
development goals.

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CHAPTER 03
LITERATURE SURVEY

Functional Feasibility

 System Accessibility: The proposed Smart City Information System (SCIS) is a web-
based application that requires no additional software installations, except for hosting. It
will be hosted on web servers provided by a web hosting company, making it accessible to
any client with an internet connection and a web browser.

Economic Feasibility

 Cost Efficiency: The project stakeholders do not need to invest in additional software or
hardware for system deployment. The web hosting company handles all necessary
hardware and software maintenance. The only cost to the author is the hosting fee paid to
the hosting company.

Key Questions Addressed:

Impact of Online Systems on Manual Systems:

How has the cost-effectiveness and efficiency of the Smart City Information System affected the
traditional, manual urban management processes?

Accessibility and Effectiveness:

 How does the accessibility of the Smart City Information System enhance the current
manual systems? What are the improvements in user experience and service delivery?

Streamlining Payments:

 How will the proposed system facilitate clear and efficient payment processing? What
features will be implemented to ensure seamless transactions?

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Data Management and Updates:

 How does the current system retrieve and update client information, and how will the SCIS
improve these processes?

Client Feedback and Feature Development:

 How will the development team incorporate client feedback into the system? What process
will be in place to ensure new features are added based on client confirmation and
requirements?

Timely Project Delivery:

 What measures will the development team implement to ensure timely delivery of the
project, preventing additional costs associated with delays?

This chapter will explore these questions in depth, examining existing literature and case studies
related to smart city technologies, urban management systems, and the integration of innovative
solutions to enhance city operations and services.

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CHAPTER 04
SYSTEM ANALYSIS

4.1 ER DIAGRAM

In the Smart City Information System (SCIS), an entity-relationship model (ER Model) is
used to describe the data or information aspects of the system's processes in an abstract way that
can be implemented in a relational database. The main components of ER models are entities
(things) and the relationships that exist among them.

FIG. 4.1 ER DIAGRAM

The above diagram represents various entities within the Smart City Information System. For
instance, an entity such as "Resident" can have attributes like Resident_ID and Login_ID. Each
Resident "Interacts" (relationship) with services such as transportation, utilities, and public safety,
which are managed by city officials.

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4.2 USE CASE DIAGRAM

Use cases are a widely used systems analysis modeling tool for identifying and expressing the
functional requirements of a system. Each use case is a business scenario or event for which the
system must provide a defined response.

FIG. 4.2 USE CASE DIAGRAM

Here, residents, city officials, and administrators are represented as actors who have the authority
to access their respective use cases. The diagram illustrates interactions such as updating
information, managing policies, viewing profiles, and processing payments.

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4.3 CLASS DIAGRAM:

In the Smart City Information System, a class diagram in UML (Unified Modeling
Language) is a type of static structure diagram that describes the structure of the system by showing
the system’s classes, their attributes, operations (or methods), and the relationships among objects.

FIG. 4.3 CLASS DIAGRAM

This diagram represents the various classes within the SCIS, such as Resident, CityService, and
Administrator. Each class contains attributes and methods relevant to the operations they perform
and the data they manage.

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4.4 ACTIVITY DIAGRAM

The activity diagram shows the flow of interaction or sequence of interaction of the application.

FIG. 4.4 ACTIVITY DIAGRAM

The activity diagram demonstrates the workflow of processes within the SCIS, such as user
authentication, service request handling, and data processing, illustrating valid and invalid paths.

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4.5 OBJECT DIAGRAM:

An object diagram in UML is a diagram that shows a complete or partial view of the structure of
a modeled system at a specific time.

FIG. 4.5 OBJECT DIAGRAM

The object diagram provides a snapshot of the system's objects and their relationships at a
particular moment, giving a clear picture of the system's state.

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4.6 STATE CHART DIAGRAM:

A state diagram is a type of diagram used in computer science and related fields to describe
the behavior of systems. State diagrams require that the system described is composed of a finite
number of states; sometime, this is indeed the case, while at other times this is a reasonable
abstraction. [9]

FIG. 4.6 STATE CHART DIAGRAM

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4.7 DATA FLOW DIAGRAM

A data flow diagram is a graphically representation of the “flow” of data through an information
system, modeling its process aspects. The DFDs describe the input-process-output view of the
software. The level 0 DFD (Context DFD) shows the major external entities in application. The
level 1 DFD refines the software system abstraction and describes the details of processing the
input information to produce the output. Level 1 DFD is comparatively more descriptive form.[9]

FIG. 4.7 DATA FLOW DIAGRAM

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CHAPTER 05
MODULES
5.1 Resident Module

1. Dashboard: Personalized dashboard with key information and updates.

2. Service Requests: Submit and track city service requests.

3. Payments: Secure platform for making payments for city services.

4. My Profile: Manage personal information and account settings.

5. City Services: Access details about available city services.

5.2 City Official Module

1. Dashboard: Overview of activities and updates from city departments.

2. My Profile: Manage personal and professional information.

3. Service Management: Handle and track service requests.

4. City Services: Update and maintain city service information.

5. Payments Management: Monitor and manage payments for city services.

6. Notifications Management: Send alerts and updates to residents.

7. City Official Summary: Performance and interaction overview.

5.3 Admin Module

1. Dashboard: Centralized view of system metrics and alerts.

2. User Management: Manage all system users (residents, officials, etc.).

3. Service Configuration: Define and manage city services.

4. Payment Configuration: Set up and manage payment options.

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CHAPTER 06
TOOLS AND REQUIREMENTS

Tools

 Django Framework

Django is a high-level Python web framework that encourages rapid development

and clean, pragmatic design. It is used to build the backend of the system, handle
database operations, and manage application logic.

 HTML, CSS, JavaScript

HTML and CSS are used to build and style the user interface of the system.
JavaScript is utilized for adding interactivity and dynamic features to the frontend.

 MySQL

MySQL is a popular relational database management system. It is used to store and

manage the data of the Smart City Information System.

 Visual Paradigm Community Edition

Visual Paradigm Community Edition is a UML CASE Tool. It is used to draw use
case diagrams, activity diagrams, and other UML diagrams for system modeling.

 Visual Studio Code

Visual Studio Code (VS Code) is a free and open-source code editor. It is used for
writing and editing the system’s source code.

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Requirement

1. Django

 Django version 4.2 or higher

2. MySQL Database

 MySQL Server version 8.0 or higher

3. Development Environment

4. Laptop with the following specifications:

 Operating System: Windows 7 or higher / Linux / macOS

 Processor: Intel(R) Core (TM) i5-5200U CPU @ 2.20GHz or equivalent

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CHAPTER 07
CODE IMPLEMENTATIONS

manage.py

#!/usr/bin/env python

"""Django's command-line utility for administrative tasks."""

import os

import sys

def main():

"""Run administrative tasks."""

os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'scm.settings')

try:

from django.core.management import execute_from_command_line

except ImportError as exc:

raise ImportError(

"Couldn't import Django. Are you sure it's installed and "

"available on your PYTHONPATH environment variable? Did you "

"forget to activate a virtual environment?"

) from exc

execute_from_command_line(sys.argv)

if __name__ == '__main__':

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main()

settings.py

import os

from pathlib import Path

# Build paths inside the project like this: BASE_DIR / 'subdir'.

BASE_DIR = Path(__file__).resolve().parent.parent

# Quick-start development settings - unsuitable for production

# See https://docs.djangoproject.com/en/4.1/howto/deployment/checklist/

# SECURITY WARNING: keep the secret key used in production secret!

SECRET_KEY = 'django-insecure-*5e5^wlll(nfl=+3r6_7_f_f1ma$ffig48ygmwhh0ds#v-9j-$'

# SECURITY WARNING: don't run with debug turned on in production!

DEBUG = True

ALLOWED_HOSTS = []

# Application definition

INSTALLED_APPS = [

'django.contrib.admin',

'django.contrib.auth',

'django.contrib.contenttypes',

'django.contrib.sessions',

'django.contrib.messages',

'django.contrib.staticfiles',

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'scm',

MIDDLEWARE = [

'django.middleware.security.SecurityMiddleware',

'django.contrib.sessions.middleware.SessionMiddleware',

'django.middleware.common.CommonMiddleware',

'django.middleware.csrf.CsrfViewMiddleware',

'django.contrib.auth.middleware.AuthenticationMiddleware',

'django.contrib.messages.middleware.MessageMiddleware',

'django.middleware.clickjacking.XFrameOptionsMiddleware',

ROOT_URLCONF = 'scm.urls'

TEMPLATES = [

'BACKEND': 'django.template.backends.django.DjangoTemplates',

'DIRS': [],

'APP_DIRS': True,

'OPTIONS': {

'context_processors': [

'django.template.context_processors.debug',

'django.template.context_processors.request',

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'django.contrib.auth.context_processors.auth',

'django.contrib.messages.context_processors.messages',

],

},

},

WSGI_APPLICATION = 'scm.wsgi.application'

#Database

# https://docs.djangoproject.com/en/4.1/ref/settings/#databases

DATABASES = {

'default': {

'ENGINE': 'django.db.backends.sqlite3',

'NAME': BASE_DIR / 'db.sqlite3',

# Password validation

# https://docs.djangoproject.com/en/4.1/ref/settings/#auth-password-validators

AUTH_PASSWORD_VALIDATORS = [

'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',

},

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'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',

},

'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',

},

'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',

},

# Internationalization

# https://docs.djangoproject.com/en/4.1/topics/i18n/

LANGUAGE_CODE = 'en-us'

TIME_ZONE = 'UTC'

USE_I18N = True

USE_TZ = True

# Static files (CSS, JavaScript, Images)

# https://docs.djangoproject.com/en/4.1/howto/static-files/

STATIC_URL = 'static/'

STATICFILES_DIRS = [

BASE_DIR, 'scm/static'

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# Default primary key field type

# https://docs.djangoproject.com/en/4.1/ref/settings/#default-auto-field

DEFAULT_AUTO_FIELD = 'django.db.models.BigAutoField

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CHAPTER 08
SNAPSHOTS

Fig-8.1: Home Page

This is Home in this page Admin or User can click to login

Fig-8.2: About Page

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This is About in this page can Anyone Views this page

Fig-8.3: Our Services

Fig-8.4: Contact Page

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Fig-8.5: Admin Sign Up

Fig-8.6: Admin Login

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Fig-8.7: Admin Added to Services for Users

Fig-8.8: User Services

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CHAPTER 09
FUTURE ENHANCEMENT

1. Integration with IoT Devices:

 Enhance data collection and real-time monitoring by integrating IoT sensors for
traffic, waste management, water supply, and air quality.

2. Predictive Analytics:

 Implement machine learning algorithms to predict and proactively manage city

services, such as anticipating traffic congestion, waste collection needs, and
hospital admissions.

3. Citizen Engagement Platform:

 Develop a mobile app or web portal for citizens to report issues, access city
services, and provide feedback, increasing community involvement and service
responsiveness.

4. Enhanced Public Transportation System:

 Introduce real-time tracking and scheduling for public transportation, and integrate
with smart bike systems for seamless multi-modal transport options.

5. Energy Management System:

 Incorporate smart grid technologies to manage energy distribution efficiently,

promote renewable energy sources, and monitor energy consumption patterns.

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CHAPTER 10
CONCLUSIONS
The Smart City Information System (SCIS) has numerous advantages, offering a seamless and
efficient experience for users.

Implementing SCIS enhances city management by providing faster, more accurate, and
economical solutions for handling urban operations.

The system simplifies the retrieval of residents' details and the generation of reports, reducing the
need for extensive manpower and paperwork.

Three essential components of this project include the user interface, the creation of a relational
database, and the SQL engine.

The project is fundamentally based on database management system concepts, utilizing MySQL
for the back-end and HTML, CSS, Bootstrap, and JavaScript for the front-end. The SQL queries
are appropriately coded to ensure optimal performance.

The project is highly feasible, providing practical solutions for urban management challenges.

Software engineering principles have been employed to implement the project, with thorough
requirement analysis conducted to ensure the system meets the needs of its users.

The Smart City Information System represents a significant step forward in leveraging technology
for urban management, promoting sustainable development, and enhancing the quality of life for
the community.

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BIBLIOGRAPHY

1. Brawner, L. B. - "Information Systems and Risk Management for Smart Cities"

2. Breighner, M., W. Payton, and J. Drewes. - Information Systems Management Manual for
Smart Cities, 2012

3. Clow, F. - "Disaster Preparedness: Managing Information Systems Liability in Smart

Cities." Smart City Tech Bibliography No. 5 (2010?): 29-33

4. Deshima, J. - "Securing Smart City Information Systems." Best's Review

(Technology/Information Systems Edition) (August 1992): 61-62, 98

5. https://www.tutorialspoint.com/smart_city_information_systems/index.htm

6. https://en.wikipedia.org/wiki/Smart_city_information_systems

7. https://phpgurukul.com/smart-city-information-management-system-using-php-and-
mysql/#google_vignette

8. https://chat.openai.com/c/016005fe-c412-41d3-bbff-c0049c4ec66b

9. https://www.javatpoint.com/smart_city_information_systems

10. https://www.youtube.com/watch?v=WlYiWeZbhNE

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