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SMART CAR RECOMMENDATION SYSTEM

Ms.Rithanya Senthilkumar, Ms.Shalini R, Ms.Thangeshwari J, Mr.Vimal Raj S, Ms. Sini Prabhakar

Abstract


The Smart Car Recommendation System is an intelligent application designed to help users select the most suitable car based on their preferences, needs, and budget. With the rapid expansion of the automobile industry and the wide variety of models available, choosing the right car has become a complex decision-making process.

 

This system uses data-driven techniques and machine learning algorithms to analyze factors such as price, fuel type, mileage, engine capacity, seating capacity, transmission type, and brand reputation. By collecting and processing car data from reliable sources, it generates personalized recommendations tailored to user requirements.

 

A user-friendly interface allows users to input preferences and instantly view top recommended cars. This project showcases the integration of artificial intelligence, data analysis, and recommendation algorithms to enhance customer decision-making in the automotive sector.

 


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References


● Edmunds.com. (2023). How to Buy a New Car. Retrieved from https://www.edmunds.com/car-buying/

● Kelley Blue Book. (2023). New Car Buying Guide. Retrieved from https://www.kbb.com/car-advice/new-car-buying-guide/

● National Automobile Dealers Association (NADA). (2022). Auto Sales & Economic Data.

● Consumer Reports. (2023). Car Buying Guide.

● Deloitte Insights. (2023). 2023 Global Automotive Consumer Study.

● International Energy Agency (IEA). (2023). Global EV Outlook 2023.

● Cox Automotive. (2023). Car Buyer Journey Study.


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