Used Car Price Prediction System using AI

The project is web and AI based Software, which allows users to predict the price of the used cars by asking few questions about the features of the car. In recent years, the buying and selling of the used cars have grown rapidly through different ecommerce websites. There are many ads in online market with fake or misleading prices so a question arises whether the listed price is according to the actual worth of the car. The design system intends to verify the price of car according to the market standards.

Languages

AngularJS is a discontinued free and open-source JavaScript-based web framework for developing single-page applications. It was maintained mainly by Google and a community of individuals and corporations.
Node.js is an open-source, cross-platform, back-end JavaScript runtime environment that runs on a JavaScript Engine and executes JavaScript code outside a web browser, which was designed to build scalable network applications
Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Python is dynamically-typed and garbage-collected. It supports multiple programming paradigms, including structured, object-oriented and functional programming

Our Team

OSAMA JALIL (LEAD)

I worked on Python part based on different machine learning algorithms to train the model. The dataset of 50,000 cars across the Pakistan is trained by different models including Linear Regression, Decision Tree, Random Forest Classifier, Support Vector Machine (SVM). These all ML algorithms gives good accuracy based on the input given. The predicted price of the used car is almost equal to that the original market price.

MUBASHIR HUSSAIN

Mubashir Hussain worked on backend using nodejs. He built different modules that interact with the database shows the result quickly. Our web based application is fast and easy to use because it is written in javascripts framework i.e.. node js

DANYAL KHURSHEED

Danyal Khursheed worked on frontend using angular js. He built different modules that attract the users shows an attractive interface. Our web based application is fast and easy to use because it is written in javascripts framework i.e.. angular i.e a SPA

Conclusion

Used Car Price Prediction System is web and AI based software which allows users to predict the price of the used cars by asking few questions about the features of the car. The purpose of the system is to predict the price of the used cars according to the market. The core functionality of the software is to predict the price of the used cars according to the market standards by using the dataset that reflects the market value. Application also allows the user to review the prediction made by the system. Used Car Price Prediction System (NgCars) has been developed and is successfully working according to the requirements. The users are able to predict the price of their used cars and also review the prediction made by the system.

Final Year Project Presentation

final.pdf

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