🚗💨 AI-Powered Car Price Prediction

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

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🛠 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

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📸 Quick Peek

Home Page:

Prediction Page:

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🧠 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

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📂 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

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💻 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