In today’s automotive landscape, choosing the perfect car model can be a challenging task due to the vast array of options available, each offering unique features and price points. To simplify this decision-making process and empower consumers, we present a Car Model Prediction System developed using Python and the tkinter library for building a user-friendly interface.
An interactive GUI is being made using tkinter and python for the car model prediction system .
— The user uploads an image of a car.
— The system predicts the model of the car using different algorithms such as:-
- Linear Regression & KNN Algorithm
- SVM &CNN Algorithm
- KNN & SVM Algorithm
- KNN& CNN Algorithm
to the maximum accuracy possible.
ALGORITHM / MODEL USED:- VGG16 Architecture.
Car Model Prediction 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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