🚗 Car Price Prediction – ML Web App

📌 Overview

This is a machine learning-based web application that predicts the selling price of a car based on its attributes like brand, model, year, mileage, engine power, fuel type, and transmission. The app is built using Streamlit and deploys a pre-trained regression model for real-time predictions.

✨ Features

✅ Real-time car price prediction using ML

✅ Interactive and user-friendly UI

✅ Encodes categorical data using target encoding

✅ Feature scaling applied for improved accuracy

✅ Fast and efficient, accessible from any device

✅ Deployed on Streamlit Cloud

🏗 Tech Stack

Python 🐍

Streamlit 🎨 (for the web app)

Pandas & NumPy 📊 (for data processing)

Scikit-learn 🤖 (for machine learning)

Pickle & Joblib 🏗 (for model serialization)