USING ARTIFICIAL INTELLIGENCE TO RECOMMEND SUITABLE CARS FOR CUSTOMERS

Abstract

This study explores the integration of artificial intelligence (AI) to develop a vehicle recommendation system tailored to individual customer needs. In the automotive industry, traditional vehicle recommendation methods often fail to take into account unique customer requirements such as family size, travel distance, or intended vehicle use. This study uses AI techniques including deep learning, collaborative filtering, and hybrid recommender systems to analyze customer data and generate personalized suggestions. The system is designed with modular components including data collection, neural network processing, database management, and an intuitive user interface built with Python Flask.