iamswapnil22/Gaadi-Bazzar

The "Used Cars Price Prediction" ML project aims to develop a predictive model using machine learning algorithms to estimate the resale value of pre-owned vehicles based on various features such as make, model, year, mileage, and condition, providing valuable insights for both buyers and sellers in the used car market.

Gaadi Bazzar - Used Car Price Prediction 🚗💰

Quick Start

1. Clone the repository:

   git clone https://github.com/iamswapnil22/gaadi-bazzar.git
   cd gaadi-bazzar

2. Install dependencies:

   pip install -r requirements.txt

3. Run the prediction web app:

   cd web_app
   python app.py

4. Visit Gaadi Bazzar:

   Gaadi Bazzar - Used Car Price Prediction

Key Features

• Diverse Machine Learning Models: Gaadi Bazzar employs a variety of models, including Random Forest, Ridge, Lasso, and more, to ensure accurate price predictions.

• User-friendly Interface: The web app provides an intuitive and user-friendly interface, making it easy for users to input car details and receive instant price estimates.

• Data Visualization: Explore insightful visualizations within the Jupyter notebook, helping users understand the relationships between different features and the predicted prices.

Live Demo

Usage Guidelines

• Input relevant details about your car, including the year, present price, kilometers driven, fuel type, and more.

• Receive an estimated selling price based on advanced machine learning algorithms.

• Experiment with different models and hyperparameters to tailor predictions to your preferences.

License

This project is licensed under the MIT License.

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