Vehicle Sales Forecasting App

This application predicts next-month vehicle stock demand using machine learning and provides insights into buyer demographics.

---

How to Install Python on Windows

1. Go to the official Python website: https://www.python.org/downloads/windows/.
2. Download the latest Python installer for Windows.
3. Run the installer and check the box that says "Add Python to PATH".
4. Click on Install Now and follow the setup wizard.
5. After installation, verify it by opening a command prompt and typing:

python --version

---

How to Generate the .pkl Model

The .pkl file stores the trained machine learning model for predictions.

1. Ensure that the cleaned_car_data.csv file exists in the csv/ folder.
2. Run the following command:

python mml.py

If successful, the model will be saved as vehicle_stock_forecast_model.pkl in your project folder.

---

How to Clean Data

Use the cleaning script to preprocess raw data.

python clean_car_data.py

The cleaned data will be saved in the csv/ folder as cleaned_car_data.csv.

---

How to Start the Program

1. Install dependencies:

python install.py

2. Launch the application:

python app.py

3. Open your browser and visit:
   http://127.0.0.1:5000

---

Troubleshooting

• Issue: "No file selected" when uploading data
  Solution: Ensure you have selected a .csv file.

• Issue: KeyError: 'Date' in mml.py
  Solution: Verify your dataset contains the Year and Month columns.

• Issue: Module not found error
  Solution: Run:

python install.py

---

Features

• Forecast Sales: Predicts units of each car model expected to sell next month.
• Buyer Insights: Provides demographic insights, including gender and income analysis.
• CSV Download: Allows users to export the forecast report.

---