AI Product Recommender
Developed a semantic product search and recommendation system using SBERT embeddings and FAISS vector similarity search to deliver context-aware product recommendations based on natural language queries.
Languages
Python JavaScriptTools & Libraries
SBERT FAISS FastAPI React
Project Details:
- Designed an AI-powered product recommendation system to match vague user queries with relevant ecommerce products by using SBERT embeddings and FAISS for semantic similarity-based retrieval.
- Built RESTful APIs to serve real-time recommendations by designing a FastAPI backend for orchestrating query handling, database retrieval, embedding lookup, and response generation.