Designed and built an AI-powered chat assistant that provides instant, VIN-specific vehicle pricing, condition summaries, and buyer risk factors. Integrated OpenAI APIs for natural language processing and Supabase for user session management. Developed a mobile-first React frontend with real-time AI responses, image summarization, and conversational car-buying advice.
Lucas Will
Delivering AI-Powered Vehicle Insights Through Mobile
For this project, I built a React Native mobile app that lets users interact with an AI-powered chat assistant to get instant vehicle insights based on VIN inputs and uploaded photos. The app provides real-time responses on vehicle condition, market value, and risk factors. I focused on creating a mobile-first user experience optimized for fast, conversational decision support.
Full-Stack Architecture Built for Speed and Scale
On the backend, I developed an Express.js API to handle VIN decoding, AI queries, token management, and user authentication. The mobile app communicates with the backend to process image uploads, run AI-based scoring through OpenAI APIs, and deliver structured results back to users. This setup ensures fast performance and leaves room for future feature scaling like subscription tiers or dealer chat access.
This project showcases my ability to deliver production-ready mobile apps with full-stack architecture, real-time AI integration, and a clean, user-focused design.
