Nuocheng Li¹ and Ang Li², ¹USA, ²California State University Long Beach, USA

This research presents an AI-enhanced auto parts knowledge platform that integrates real-time community discussions and AI-generated insights to provide accurate and structured information about vehicle components [1]. The system combines an Auto Parts Information Hub, which uses Google Gemini AI to generate specifications, pricing, and environmental impact data, with a real-time Community Forum where users can exchange knowledge. A survey-based experiment with 10 participants assessed user satisfaction with the platform, revealing high engagement in discussions and strong appreciation for AI-driven insights, though some users noted limitations in AI-generated data accuracy [2]. Another survey evaluated user perception of AI-generated auto part information, highlighting the need for improved contextual relevance. Challenges such as scalability and AI data validation were identified, with potential improvements including enhanced AI training models and user feedback mechanisms [3]. The platform offers a scalable, intelligent, and interactive solution for improving auto part knowledge and decision-making.

Community Engagement, AI-Generated Content, Real-Time Updates, User Authentication, Auto Parts Insights