AMD Smart Product Assistant API

Our project is an AI-powered Smart Product Assistant designed to help users discover, understand, and compare products more easily through natural language interaction. The system allows users to ask questions about products, get intelligent recommendations, compare specifications, and receive helpful explanations based on product data. The main goal of this project is to create a practical AI assistant that can improve the product exploration experience, especially for users who need fast, clear, and personalized information before making a decision. Based on the PRD, this project includes several key components: a backend API, AI model integration, product data management, user interaction flow, and a frontend interface that connects directly with the AI assistant. The backend is designed to handle requests, manage product-related data, connect with the AI model, and return accurate responses to the user. The AI system has also been connected to Ollama 3 running on AMD Developer Cloud, allowing the assistant to process user prompts and generate relevant responses. This setup demonstrates how AMD cloud infrastructure can be used to run AI workloads and support real-world application development. This project was fully designed and developed by two Senior Fullstack Engineers, Agung Laksono and Naila Sijabat. We worked on the system from end to end, including backend architecture, API development, frontend integration, AI connection, database preparation, and deployment setup. We are submitting this project to Lablab AI as a completed solution that demonstrates our ability to build an AI-powered product assistant with practical use cases, scalable architecture, and real implementation using modern AI technology.