VISVESVARAYA TECHNOLOGICAL UNIVERSITY

Jnana Sangama, Belagavi-590018, Karnataka, India

A Synopsis of the Mini Project on

“smart parking and employment for spot owner”

Submitted by

Mohammed Irfan– 1TJ22CS066

Musharaff Ali khan– 1TJ22CS071
Priyanka s – 1TJ23CS082

Under the guidance of

DR. Nisha wilvickta

Associate Professor
Department CSE

Department of Computer Science and Engineering

T. JOHN INSTITUTE OF TECHNOLOGY
(Affiliated to Visvesvaraya Technological University)
#86/1, Gottigere, Bannerghatta Road, Bengaluru-560083
2024-2025
1.Abstract

The smart parking Portfolio is designed to provide users with a unified platform to avail

their parking system . It generates the unused available(vacant) parking areas , real-time

updates, advance parking reservation, and employment for the building or site owner

which is easy to gain extra profit. The project addresses challenges like huge traffic,

congested spaces for parking, and security risks, offering a secure, user-friendly parking

system and employment for owners. By simplifying parking management and enhancing

parking areas making the user to avail easily , the project aims to empower users with

actionable insights and contribute to a transparent, efficient parking system.

2.Introduction
This project focuses on creating a platform that connects vehicle owners in need of
parking spaces with residents who have unused parking spots available for rent. The
solution aims to address the growing issue of limited parking spaces in urban areas
while offering a convenient way for residents to monetize their unused spaces.

The platform operates as a website where:

Drivers can search for nearby parking spots based on location, availability, and price.

Residents can list their unused parking spaces, set rental rates, and specify conditions for
use.

Key features include real-time availability updates, secure booking and payment
systems, and user reviews for both renters and providers. This project not only
simplifies parking for drivers but also promotes resource optimization within
communities, reducing traffic congestion and parking-related stress
3.Literature Survey

SL.NO TITLE AUTHORS / YEAR KEY CONTRIBUTIONS

JOURNAL NAME
1 SMART “Smart cities” by 2013  Highlights the potential of
PARKING Anthony M analyzing real-time data to
SYSTEM Townsend improve parking availability
and reduce congestion.
 Explores the role of civic
hackers and open data
initiatives in creating apps and
systems that solve urban
problems like parking.
 Advocates for policies that
support the integration of smart
technologies, including those
for parking systems, while
ensuring equity and
accessibility for all residents.
2 "The Sharing Arun Sundararajan 2013  Harnessing Big Data:
Economy: The The book emphasizes the use of
End of data analytics to manage urban
Employment challenges, including parking.
and the Rise of By analyzing real-time data from
Crowd-Based vehicles, sensors, and user
Capitalism" interactions, cities can optimize
parking availability and reduce
congestion.
 Public-Private
Collaboration:
Townsend discusses the
importance of collaboration
between governments, tech
companies, and citizens.
Successful smart parking
initiatives often emerge from
partnerships that align
technology with public needs.

3 "A Survey on IEEE Access 2016  Classification of Smart

Smart Parking Parking Systems: The survey
Systems" categorizes existing solutions
by their functionality, including
detection-based systems (to
locate available spaces) and
reservation systems (to pre-
book spaces).
 Assessment of Challenges
 and Limitations: It highlights
ongoing challenges such as
system scalability, cost-
effectiveness, and energy
efficiency, which are critical
for broader implementation in
urban environments

4.Problem Statement

4.1 Existing System:

The current parking systems can be broadly classified into traditional and smart systems,
with significant variations in their design and functionality:
Traditional Parking Systems:

 Manual Management: Relies on attendants or physical meters to manage parking

spaces and payments. It is prone to inefficiency, congestion, and errors.

Smart Parking Systems:

Smart parking systems leverage technology to provide more efficient
and user-friendly solutions. These include:
1. Sensor-Based Systems: Sensors (e.g., ultrasonic, infrared) installed in parking lots
detect whether spaces are occupied or free. Data is relayed to users in real-time.
2. IoT Integration: Internet of Things (IoT) devices connect parking infrastructure to
apps, allowing users to locate and reserve parking spaces remotely.
3. Mobile Apps:
 Offer real-time updates on parking availability.
 Provide digital payment options for seamless transactions.

4.2 Proposed System:

The proposed smart parking Portfolio aims to provide a employment, real-time

parking avalability, and secure platform for placing the vehicle .

1. Integration: Support aggregation of portfolios across multiple exchanges and wallets,

offering a consolidated view of user holdings.
 2. Real-Time Updates: Deliver instant price updates, transaction confirmations, and
market alerts to help users act promptly.
3. User-Friendly Interface: Feature intuitive dashboards with customizable
visualizations and insights tailored to users' needs.
4. Advanced Analytics: Utilize AI and machine learning to provide price predictions,
risk assessments, and automated alerts for market changes.
5. Enhanced Security: Ensure secure data handling and privacy through robust
encryption and authentication mechanisms.

4.3 Objective

The objective of this project is to design and develop a comprehensive cryptocurrency

portfolio and market tracking system that addresses the limitations of existing solutions.
Specifically, the system aims to:
User Interface (Mobile/Web App)

 Allows drivers to:

o Locate available parking spaces in real-time.
o Reserve spots in advance.
o Pay parking fees digitally.
 Allow the owners to :
o To rent their vacant parking spots.
o Parking will be given in empty space, used parking areas in commercial street
and buildings

Smart Signage and Navigation

 Dynamic displays: Guides drivers to vacant parking spots.

 Integration with navigation apps: Provides turn-by-turn directions to available
spaces.

Payment and Monitoring

 Automated billing: Based on duration of parking.

 Payment methods: Digital wallets, credit/debit cards, or subscription models.
 Monitoring: Through number plate recognition (ANPR) or QR codes for tracking
vehicles.

5. Design Architecture and Flow Diagram

The system architecture is divided into three key layers: UI Layer, Application Layer
(Backend), and Database Layer, each playing a distinct role to ensure seamless
functionality, scalability, and security.
1. UI Layer
The UI Layer is responsible for the user experience, providing an intuitive and interactive
interface for users to access system features.
Components:
 Web Interface: A responsive web-based dashboard for desktop and mobile browsers,
enabling easy access to portfolio tracking and market data.
 Features:
o Dashboard for consolidated portfolio view.
o Real-time updates for vacant parking areas,and price for particular wheeler.
o Alerts and notifications for significant changes in prices or parking
availability.
o Secure login and authentication.
Technologies:
 Frontend Frameworks: React.js, Angular, or Vue.js.

2. Application Layer (Backend)

The Application Layer handles business logic, integrations, and data processing.
Components:
 API Gateway: A centralized interface for communication between the UI and backend
services.
 Business Logic Services:
o Portfolio Management: Aggregates and calculates portfolio value across
multiple exchanges and wallets.
o Location Tracking: Fetches real-time location data from google.
o Alert System: Triggers price change alerts and predictive analytics.
Technologies:
 Backend Frameworks: Node.js, Django.
 Front- end: basic HTML ,react ,js , css.

3. Database Layer
The Database Layer stores and manages data related to user accounts, portfolios, and the
parking owner.
 Components:
 User Data: Securely stores login credentials, authentication tokens, and profile
settings.
 Portfolio Data: Tracks user holdings, historical transactions, and valuation data.
 Parking- owner: store the details of the owner, site sizes suitable for particular vehicle
and more.
Technologies:
 Relational Database: PostgreSQL or MySQL for structured data like user accounts
and portfolios.
 NoSQL Database: MongoDB or Redis for unstructured data like spot owners and
parking area measurement results.

6.Flow Diagram

7.Conclusion

The proposed smart parking spot is designed to address the challenges of fragmented,
complex, and insecure existing solutions in the tehe traffic ,management . By integrating
advanced technologies, real-time analytics, and robust security measures, the system offers a
unified platform for users to monitor their vehicles and spaces efficiently.
This system empowers users—whether land owners ,vehicle drivers—with actionable
insights, predictive analytics, and seamless portfolio management. Its scalable architecture,
comprising a user-friendly interface, a robust backend for data processing, and a secure
database layer, ensures reliability and efficiency. Additionally, the system's emphasis on
enhanced security and data privacy aligns with the growing need for trust and transparency in
digital parking solutions.
The project lays the groundwork for creating a versatile tool that not only simplifies parking
management but also contributes to a more informed and transparent parking ecosystem.
Future enhancements, such as deeper AI integration and support for smart parking system,can
further elevate the system’s capabilities, addressing emerging trends and user needs in the
dynamic world in technology.

8. References

Books and Research Papers

• "Smart Cities: Big Data, Civic Hackers, and the Quest for a New Utopia" by Anthony
M. Townsend
• "The Sharing Economy: The End of Employment and the Rise of Crowd-Based
Capitalism" by Arun Sundararajan
• "A Survey on Smart Parking Systems" – IEEE Access
The End