Machine learning based vehicle dealing web application

Project Title

Machine learning based vehicle dealing web application

Project Area of Specialization Software EngineeringProject Summary

In this advanced era of technology Automotive industry is also growing very fastly. Many Automotive companies are in competition introducing new budget, luxury, family, racing and loading vehicles.
It is very difficult for anyone who wants to purchase a vehicle to manage time to go different showrooms and check the features of all available vehicles in a specified price range. And also every company’s showroom is not available in every area.
It is much time and budget taking procedure to find vehicle by visiting personally to different showrooms.
We are introducing a “Machine learning base vehicle dealing Web application” to overcome this problem.

Project Objectives

Choosing a car is one of the most complicated ventures a person can embark upon. There are so many options and variables that a simple search option just won’t cut it. We will work on these options to make these more elaborate search option where the customers are presented with multiple options like choosing a price range and filtering content based on a specific feature, color, engine capacity, number of doors, luggage space, etc.

This helps the customers to narrow down the search results to exactly what they want which can help them in making the right choice with minimal ease. If only a simple search option is available, then the customer will be forced to sift through hundreds or even thousands of results with most of them being useless with regards to what they are looking for. They would probably opt to close the website instead. By providing dynamic and targeted results, we can convert prospective customers into faithful long-term associations.

Project Implementation Method

This project will use the current mainstream computing mode for development.

We will train our model using Machine Leaning which will predict the prices of vehicles and also compare features of different vehicles.

For front-end design we will use HTML5, CSS3, Bootstrap and JavaScript.

We will use .NET framework for back-end development with c# language.

We will use Microsoft SQL Server for databases.

Benefits of the Project

We will consider all these things and design a user friendly environment.

1. 1. High-quality car photos:

Looks are often what ultimately decides if a car will be sold or not. If two vehicles with a very similar feature-set are presented to a customer, then they will choose the car that looks better to them. Your website has to make this easier for them, and that is where high-quality photos come in.

1. 1. Hot Deals:

Chances are pretty high that your car dealership’s website isn’t the only one the customer will come across. They might be shopping around, we will grab the attention of such customers is by providing hot deals. What is more important is that these deals should be displayed in an eye-catching manner without distracting them from the rest of the website. 

1. 1. Vehicles compare:

Often, the difference between two or more vehicle isn’t very clear-cut and the more they are viewed individually, the more convoluted the choice becomes. We will help our customers in this regards by adding the option to compare multiple vehicles side-by-side. One of the primary objectives of a website is to provide information, and ‘vehicles compare’ feature is vital for car dealer websites to be able to provide concise but high-quality information.

1. 1. Easy contact with a dealer:

We will provide detailed contact information including all the phone numbers, email addresses and physical addresses of the dealership. Adding a form for the customers to fill out is also a great idea as you can get a clearer idea of what the customer is looking for.

1. 1. Mobile friendly:

As per the latest statistics, between 51 and 52 percent of all users who are online do so from mobile devices. This means that more than half your prospective customers will be viewing your website on a smaller screen at lower resolutions compared to a computer or a laptop. Our website and all its features will be easily accessible from devices of all screen configurations. Websites that aren’t properly optimized for a smaller screen can contain overlapping elements and features that aren’t visible or usable on a smaller screen. This is the worst experience you could provide to a mobile user.

Technical Details of Final Deliverable

At the end we will deliver a web application named as "Machine learning based vehicle dealing system".
 

Final Deliverable of the Project Software SystemCore Industry ITOther Industries Transportation Core Technology Artificial Intelligence(AI)Other Technologies OthersSustainable Development Goals Industry, Innovation and InfrastructureRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	68000
Domain	Equipment	1	12250	12250
Hosting	Equipment	1	14300	14300
Theme	Equipment	1	15000	15000
APIs	Equipment	4	2000	8000
API testing tool	Equipment	1	3450	3450
SQL for database	Equipment	1	8000	8000
Stationery	Miscellaneous	5	800	4000
Printing	Miscellaneous	1	3000	3000