NextGen AI agent for perceived quality of cars
Publicerad
Författare
Typ
Examensarbete för masterexamen
Master's Thesis
Master's Thesis
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
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.
Beskrivning
Ämne/nyckelord
AI, perceived quality, RAG, machine learning, image analysis, automotive design, user feedback