Price Prediction App - Car Price Prediction using Regression

🚗 This project predicts the price of a used car based on features like:

• Company
• Year
• Kilometers Driven
• Fuel Type

📊 It uses Linear Regression for prediction and Streamlit for the frontend, where users can input car details and see the predicted price.

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📁 Files in this Repo

• app.py → Frontend built with Streamlit
• price_predictor.py → Model training and evaluation
• car_prices.csv → Dataset used
• requirements.txt → All libraries needed

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🧠 What I Learned

• Data preprocessing with pandas
• Label encoding categorical values
• Linear Regression using scikit-learn
• Building an interactive UI using Streamlit

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▶️ How to Run

1. Install requirements

   pip install -r requirements.txt