🚗 Car Price Predictor

📊 Project Overview

This Car Price Predictor is an advanced machine learning application that estimates the market value of used cars based on various features such as car name, company, year of manufacture, kilometers driven, and fuel type. The model is trained on real-world data to provide accurate price predictions.

🎯 Key Features

• Machine Learning Model: Trained using regression algorithms for accurate predictions
• User-Friendly Interface: Modern, responsive web design with interactive elements
• Real-Time Predictions: Instant price estimation based on input parameters
• Comprehensive Dataset: Trained on extensive car pricing data
• Multiple Car Brands: Supports 25+ car manufacturers

🛠️ Technology Stack

📈 How It Works

The prediction model uses supervised machine learning techniques to analyze historical car pricing data. When you input car details, the model processes these features through trained algorithms to estimate the most accurate market price. The system considers depreciation, brand value, usage patterns, and fuel type to generate reliable predictions.