NextGen AI agent for perceived quality of cars

Abstract

This thesis details an AI-powered tool intended to assist designers in evaluating Percived Quality in the early stages of the design of the development of vechicles. The tool integrates machine learning models, image analysis, and a Retrieval-Augmented Generation system to provide real-time, context-aware insights based on customer data and design attributes. Enabling proactive decision-making aims to reduce costly design iterations and align products more closely with user expectations.