Price My Car is a Flask-based web application that predicts the price of a used car using a machine learning model. The prediction is based on inputs such as car company, model, manufacturing year, fuel type, and kilometers driven.
The application uses a Linear Regression model trained on cleaned car data to estimate a fair market price.
- Predicts used car prices using machine learning
- Simple and clean web interface
- Supports multiple car brands and models
- Considers year, fuel type, and mileage
- Provides instant price prediction
- User enters car details (company, model, year, fuel type, kilometers driven)
- Data is sent to the backend Flask server
- The trained model processes the input
- The predicted price is displayed on the webpage
Price-My-Car/
│ ├── app.py
├── LinearRegressionModel.pkl
├── Cleaned_Car_data.csv
│ ├── templates/
│ └── index.html │
├── static/
│ ├── css/
│ └── js/ │
└── README.md
- Improve accuracy using advanced ML models (Random Forest, XGBoost)
- Add location-based pricing
- Deploy on cloud platforms
- Add user authentication system
- Add analytics dashboard
- Python
- Flask
- Scikit-learn
- Pandas
- NumPy
- HTML
- CSS
- Bootstrap
- Pickle
This project provides estimated prices only. Actual market prices may vary based on condition, location, and market demand.