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Car Price Prediction System
Original price was: ₹499.00.₹229.00Current price is: ₹229.00.
🚗 SnapFolio – Car Price Prediction System is an advanced web application built using Flask, HTML, CSS, Bootstrap, and machine learning. It leverages data analysis by SnapFolio to accurately predict car prices based on various features, helping buyers and sellers make informed decisions.
🚀 SnapFolio – Car Price Prediction System is a cutting-edge AI-powered web application designed to estimate car prices based on key vehicle attributes. This project combines the power of machine learning, Flask, and data analysis to provide users with a reliable tool for car valuation. Whether you’re a car buyer, seller, or dealer, SnapFolio helps in making data-driven pricing decisions with ease.
🌟 Key Features:
✅ Accurate Price Prediction – Uses machine learning models trained on real-world car data to provide precise price estimates.
✅ User-Friendly Web Interface – Built with HTML, CSS, and Bootstrap, ensuring a modern, responsive, and easy-to-use design.
✅ Flask-Powered Backend – A lightweight yet powerful framework to handle API requests and process data efficiently.
✅ Data Analysis by SnapFolio – Implements statistical modeling, feature engineering, and data visualization for better insights.
✅ Interactive Input Form – Users can enter car details like brand, model, year, mileage, fuel type, and transmission to get an estimated market value.
✅ Scalable & Fast – Optimized for speed and performance, making real-time predictions effortless.
🔍 How It Works:
1️⃣ User Input: The user enters details such as car brand, model, manufacturing year, mileage, fuel type, and other parameters.
2️⃣ Data Preprocessing: The system cleans, transforms, and applies one-hot encoding for categorical variables.
3️⃣ Machine Learning Model: A pre-trained Linear Regression / Random Forest model analyzes the input data.
4️⃣ Prediction & Output: The system displays an estimated car price based on historical data and market trends.
🛠️ Tech Stack Used:
Frontend: HTML, CSS, Bootstrap
Backend: Flask (Python)
Machine Learning: Scikit-learn (Linear Regression, Decision Trees, Random Forest)
Data Processing: Pandas, NumPy, Matplotlib, Seaborn
Database (if applicable): SQLite / PostgreSQL
🎯 Why Use SnapFolio’s Car Price Prediction?
✔️ Helps buyers determine the fair price before purchasing a car.
✔️ Supports sellers in setting the right price for their vehicle.
✔️ Assists dealerships in evaluating car resale values.
✔️ Uses real-world data analysis for accurate market predictions.
SnapFolio brings a data-driven approach to car valuation, making it easier than ever to get the best deals in the automotive market! 🚗💨
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