Car Model Recommendation using Machine Learning
Car Recommendation system using machine learning and this project developed using python programming language and tkiner is used for developing user interface. This Car Recommendation system is similar to sales person who recommend car according to customer budget, color preferences, car type, seating capacity, fuel preferences, etc. so based on customer preferences and records what they like so sales person suggest car accordingly. The main objective of this project is to recommend a car based on the customer desired model and car profile. Car Recommendation System is consider as major project and play a important role in digital world, as customer are often puzzled by their own choices and needs and so assistance is required for getting what they are actually searching.
Car Recommendation System is a software developed to assist customers for choosing right car for their needs. This model uses machine learning algorithm to analyze customer data and generate personalized recommendation system based on customer budget, preferences and other factors. The software includes a front-end for customers to interact with user interface this is developed using tkinter library and a backend for car recommendation model. In the output of this project, it will recommend with car image, car name, number of seating, fuel type, Price of Car, Color and Transmission.
Car Model Recommendation using Machine Learning
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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