Intelligent Car Selection Using Recommender Systems
M Meena · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT · 2025
Abstract - The increasing number of car models and evolving automotive technologies have made decision-making more complex for car buyers. This paper presents a comprehensive and interactive car comparison web platform designed to streamline the vehicle selection process. By integrating multi-dimensional comparison features, machine learning-based used car price prediction, and a user-friendly interface, the system enables informed decisions based on real-time data. The platform is developed using modern web technologies and data science tools, offering a robust solution for both new and used car buyers. Keywords: Car Comparison, Web Application, Machine Learning, Price Prediction, Vehicle Specifications, User Experience.