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Car Booking &
Recommendation System
Presented by
Suraj Katwal
1
26 June, 2022
Final Defense for Project II
Kantipur City College
MCA III
Introduction
Car Booking & Recommendation System is web-based application
that helps user to choose desired car based on user behavior i.e. it
depends on their input like budget, desired model, brand, etc. and
book the car through our system.
2
Problem Definition
● Car selection is a complicated and time-consuming
process. The increase in the number of cars, their range of
prices, and the variety of specifications means that
customers spend an average of five-six weeks
researching the right car for them.
● This problem is particularly acute in Nepal, where the car
market has seen unprecedented growth within the past
few years.
3
Objectives
● To develop a web-based car booking & recommendation
system that can provide users with personalized car
recommendations based on their individual needs and
preferences.
● To make car dealers easier to sell different car models through a
recommender system.
4
Literature Review
● Cardekho.com - An online resource for research and information on
new and used cars in India.
● Hamrobazaar.com - An online marketplace for buying and selling
automobiles and other varieties of stuffs in Nepal.
● AutoTrader.com - An online marketplace for buying and selling cars
based in USA.
5
Project Flow
1. User enters “budget”, “year”, “preferred brand”, “fuel type” and
any special preference.
2. The data goes to the backend, process the best matches and
returns output. After that, a new page is rendered that shows
the output.
3. Along with the output, user can view other details like
specification of each car.
4. User will also get a way to book a test drive for car & enquiry
about it.
6
System Architecture
7
Context Diagram
8
DFD Level 1
9
ER Diagram
10
Use Case Diagram
11
Business Model
● Association with dealers and brands to let users register, book
and enquiry about the cars.
● Commission for every sale through the system.
● Classified Ads
12
Thank You
13

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Car Booking & Recommendation System Final Presentation

  • 1. Car Booking & Recommendation System Presented by Suraj Katwal 1 26 June, 2022 Final Defense for Project II Kantipur City College MCA III
  • 2. Introduction Car Booking & Recommendation System is web-based application that helps user to choose desired car based on user behavior i.e. it depends on their input like budget, desired model, brand, etc. and book the car through our system. 2
  • 3. Problem Definition ● Car selection is a complicated and time-consuming process. The increase in the number of cars, their range of prices, and the variety of specifications means that customers spend an average of five-six weeks researching the right car for them. ● This problem is particularly acute in Nepal, where the car market has seen unprecedented growth within the past few years. 3
  • 4. Objectives ● To develop a web-based car booking & recommendation system that can provide users with personalized car recommendations based on their individual needs and preferences. ● To make car dealers easier to sell different car models through a recommender system. 4
  • 5. Literature Review ● Cardekho.com - An online resource for research and information on new and used cars in India. ● Hamrobazaar.com - An online marketplace for buying and selling automobiles and other varieties of stuffs in Nepal. ● AutoTrader.com - An online marketplace for buying and selling cars based in USA. 5
  • 6. Project Flow 1. User enters “budget”, “year”, “preferred brand”, “fuel type” and any special preference. 2. The data goes to the backend, process the best matches and returns output. After that, a new page is rendered that shows the output. 3. Along with the output, user can view other details like specification of each car. 4. User will also get a way to book a test drive for car & enquiry about it. 6
  • 12. Business Model ● Association with dealers and brands to let users register, book and enquiry about the cars. ● Commission for every sale through the system. ● Classified Ads 12