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🚗💨 AI-Powered Car Price Prediction

"Guess the price of any used car like a pro dealer… but smarter 🤖"

Python
Flask
Scikit-Learn
Render

🛠 What This App Does

This web app takes your car’s details like:

  • Brand & Model
  • Vehicle Age
  • Mileage
  • Fuel Type
  • Transmission
    ...and predicts its fair market value 💰 using Machine Learning.

📍 Live Demo: Try it now

📸 Quick Peek

Home Page:

Screenshot 2025-08-11 215839

Prediction Page:

Screenshot 2025-08-11 215740

🧠 How It Works

  1. Data Cleaning & Feature Engineering 🧹

    • Handles missing values
    • Encodes categorical features (brand, model, etc.)
    • Scales numerical values (mileage, engine, etc.)

  2. Model Training 🤓

    • Algorithm: Random Forest Regressor 🌲
    • Evaluated with MAE, RMSE, and R² Score

  3. Deployment 🚀

    • Flask backend
    • Hosted on Render

📂 Repo Layout

car-price-prediction/ │ ├── static/ # CSS, images ├── templates/ # HTML templates ├── model.pkl # Trained ML model ├── app.py # Flask app entry point ├── requirements.txt # Dependencies └── README.md # Project documentation

💻 Run Locally

# Clone the repository
git clone https://github.com/Aaru-0653/Car_Prediction_AiModel.git
cd car-price-prediction

# Install dependencies
pip install -r requirements.txt

# Start the app
python app.py


Then open http://127.0.0.1:5000 in your browser 🌐

📊 Dataset Info
Source: Cardekho.com

Size: ~8k rows

Features: brand, model, year, mileage, engine, max power, fuel type, seller type, transmission, seats.

🎯 Future Upgrades
Add API endpoint for mobile app integration 📱

Multiple models & accuracy comparison 📊

Fancy dashboard UI with charts 📈

💬 Connect with Me
💌 Email: aarupanwar1111@email.com
🌐 GitHub: Aaru-0653