AI-Powered Smart Shopping Assistant
Type: Project
Period: Mar 2024 – Jul 2024
Location: Vancouver
Overview
Developed a startup concept for an intelligent shopping assistant that translates natural language needs into product recommendations, eliminating keyword-based search through LLM-powered semantic understanding.
Technical Approach
- Built a custom RAG (Retrieval Augmented Generation) system for product matching
- Leveraged Large Language Models for semantic understanding of user intent
- Designed to improve user conversion rates through personalized recommendations
Key Features
- Natural language product search
- Semantic understanding of user needs
- Personalized recommendations based on context
- No keyword dependency