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Mileage Prediction Web App

This is a simple web application for predicting vehicle mileage based on various features. The app is built using Python, scikit-learn for the machine learning model, and Flask for the web framework.

Features

• Predicts mileage based on user input features.
• Uses a machine learning model (Linear Regression) built with scikit-learn.
• Simple and intuitive web interface using Flask.

Requirements

• Python 3.7+
• Flask
• scikit-learn
• pandas
• numpy

Installation

1. Clone the repository:

   git clone https://github.com/Elijah57/mileage-prediction.git
   cd mileage-prediction

2. Create a virtual environment and activate it:

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install the required dependencies:

   pip install -r requirements.txt

Usage

1. Run the Flask app:

   python server.py

2. Open your browser and go to:

   http://127.0.0.1:5000/
   

3. Enter the required features for prediction and click 'Predict' to see the estimated mileage.

Project Structure

mileage-prediction-app/
│
├── server.py                  # Main application file for Flask
├── model                # Contains the code for training the ML model
│   └── carModel.joblib      # Serialized machine learning model
├── templates/
│   └── index.html          # HTML template for the web interface
├── static/
│   └── style.css           # CSS styles for the web interface             
├── requirements.txt        # List of dependencies
└── README.md               # Project README file

Model Training

• The model is already trained using the dataset from [DATA SOURCE] .

Acknowledgements

• Flask
• scikit-learn
• pandas
• numpy

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